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Senior Full-Stack AI Engineer

We are building enterprise intelligence and orchestration technology that connects data, AI, business logic, and user experiences across industries including hospitality, travel, commerce, construction, energy, and enterprise operations.
We are looking for a highly capable Senior Full-Stack AI Engineer who can independently take products and client solutions from concept through production.

This is not a role for someone who only knows how to call an LLM API. We need an engineer who understands modern application architecture, enterprise integrations, data, AI systems, agentic workflows, security, and production deployment.

What You’ll Do
Build full-stack AI-powered applications from concept through deployment
Develop modern web interfaces, dashboards, portals, and enterprise applications
Design and build backend services, APIs, databases, and integration layers
Integrate multiple AI models and providers using platforms such as OpenRouter
Build model-routing, fallback, tool-calling, and structured-output workflows
Work with OpenAI, Anthropic, Google, Meta, Mistral, DeepSeek and other model ecosystems as appropriate
Develop AI agents and multi-step workflows that interact with enterprise systems and APIs
Implement RAG, semantic search, embeddings, vector retrieval, memory, and contextual intelligence
Connect fragmented enterprise data sources, CRMs, APIs, databases, SaaS platforms, CMS environments, and third-party systems
Build secure authentication, authorization, permissions, and role-based access
Work within existing client technology environments rather than assuming everything should be rebuilt
Evaluate when an LLM is appropriate and when deterministic logic, traditional ML, rules, search, or other approaches are better
Optimize AI applications for latency, cost, reliability, accuracy, and scalability
Create testing, monitoring, logging, error handling, and fallback mechanisms
Collaborate directly with Solution Architects, product leadership, data specialists, and client technical teams
Participate in technical discovery and translate architecture into working software
Document systems so another engineer can understand, maintain, and extend them

Technical Experience
Strong experience with several of the following is expected:
Frontend
React
Next.js
TypeScript / JavaScript
Modern responsive application development
Backend
Python
Node.js / TypeScript
REST and/or GraphQL APIs
Event-driven and asynchronous architectures
Microservices or modular service architectures
AI / LLM
OpenRouter
OpenAI APIs
Anthropic / Claude
Gemini
Multi-model architectures
Function/tool calling
Structured outputs
Agentic workflows
Prompt and context engineering
RAG
Embeddings
Vector databases
Model evaluation
Guardrails
LLM observability
Token and inference-cost optimization

Experience with frameworks such as LangGraph, LangChain, LlamaIndex, Vercel AI SDK, LiteLLM or equivalent tools is valuable, but we care more about architecture judgment than allegiance to a specific framework.
Data
PostgreSQL
SQL
Redis
pgvector and/or vector databases
Data modeling
Data ingestion
Entity resolution
Data normalization and deduplication
Connecting disparate enterprise data sources
Cloud / Infrastructure
Azure, AWS and/or GCP
Docker
CI/CD
Serverless and containerized deployments
Secrets management
Logging and monitoring
Production debugging
Enterprise Integration Experience

Candidates should be comfortable working with systems such as:
WordPress and headless CMS platforms
HubSpot, Salesforce or other CRM environments
Enterprise databases
Search platforms
Payment systems
Hospitality/travel APIs
Internal enterprise APIs
Identity providers
Third-party SaaS platforms

You should be able to look at an existing system, understand what should remain, identify what needs improvement, and integrate new capabilities without unnecessarily rebuilding the entire platform.

What We Care About Beyond Code
Ownership

If you own a deliverable, you own it from beginning to end.
We expect engineers to identify blockers, communicate risks early, propose solutions, and move work forward without needing constant follow-up.
Communication

If you are going to miss a meeting, deadline, or commitment, communicate it before it becomes a problem.

Our engineers work with executives, enterprise clients, architects, product teams and other developers. Clear and proactive communication is a requirement of the position.

Reliability
We are building enterprise products. Showing up when expected, meeting commitments, documenting work, and communicating changes are part of engineering performance.

Judgment
We do not want technology for technology’s sake.

A strong candidate can answer:
Should this use an LLM at all?
Which model is appropriate and why?
What should remain deterministic?
What data should never leave the client’s environment?
What needs to be real-time?
What can be asynchronous?
What should we build versus integrate?
What belongs in phase one versus later?
What Success Looks Like

You can receive a business problem such as:
“Our client has thousands of customer records spread across several systems and wants an intelligent advisor platform that identifies opportunities, provides recommendations, and securely orchestrates actions.”
…and independently help turn that into:
Requirements → Architecture → Data → APIs → AI → Interface → Testing → Production
without needing someone to define every individual task for you.

Ideal Candidate
You are likely a strong fit if you:
Have 5+ years of professional software engineering experience
Have significant recent experience building production AI applications
Have shipped products, not only prototypes
Are equally comfortable discussing APIs, databases, frontend experiences, AI models, and system architecture
Understand enterprise security and data sensitivity
Can collaborate with architects while still independently owning implementation
Are comfortable in a fast-moving startup and client-delivery environment
Take initiative
Communicate early
Solve problems instead of waiting for instructions
Care about the quality of what happens after the demo

Engagement: Contract, with potential to expand based on performance and company needs.
Candidates should be prepared to discuss and demonstrate prior production work. A technical exercise may be included in the selection process.

AI Platform & Integration Engineer

We are building an enterprise intelligence layer that connects data, AI models, business systems, reasoning, workflows, and user experiences.

We are seeking an AI Platform & Integration Engineer to build the infrastructure behind intelligent enterprise applications.
This person will focus less on visual frontend development and more heavily on AI architecture, model orchestration, APIs, data connectivity, enterprise integrations, reliability, security, and production AI systems.

What You’ll Own
Design and implement multi-model AI infrastructure
Integrate and manage model access through OpenRouter and direct model-provider APIs

Build intelligent model routing based on task, latency, cost, privacy, reliability, and capability
Implement model fallbacks and resiliency strategies
Build AI tool/function-calling systems
Develop agentic and multi-step workflow architectures
Connect AI systems securely to enterprise databases, APIs, SaaS platforms, CMS environments, search tools, CRMs, and proprietary systems
Build RAG and enterprise knowledge-retrieval systems
Implement semantic search and entity resolution
Design contextual and long-term application memory
Build enterprise data pipelines and ingestion services
Normalize and reconcile fragmented data
Develop secure data-access layers for AI
Implement permissions and policy enforcement outside the model
Establish observability for AI requests, costs, latency, tool calls, failures, and model performance
Build evaluation frameworks for accuracy and reliability
Optimize inference cost and performance
Support private, hybrid, cloud-agnostic, or client-specific deployments
Collaborate with Solution Architects to turn future-state designs into working infrastructure
Support Full-Stack Engineers consuming the AI and data services you create
AI Experience We Want
Deep experience with several of the following:
OpenRouter
OpenAI
Anthropic
Google Gemini
Open-source models
Multi-model orchestration
Tool/function calling
Structured outputs
Agent architectures
RAG
Embeddings
Semantic retrieval
Vector databases
Model routing
Model evaluation
Guardrails
Context management
Prompt engineering
AI observability
Inference optimization
Experience with technologies such as:
LangGraph
LlamaIndex
LangChain
LiteLLM
MCP / Model Context Protocol
Vercel AI SDK
pgvector
Pinecone
Weaviate
Qdrant
is valuable.

We are not looking for someone who relies exclusively on one framework or one model provider.
Data & Integration Experience
Strong experience with:
Python
TypeScript / Node.js
PostgreSQL
SQL
Redis
REST APIs
Webhooks
Authentication
OAuth
API gateways
Data pipelines
ETL/ELT
Data normalization
Entity resolution
Data quality
Event-driven systems

You should be comfortable being handed multiple databases and APIs that were never designed to work together and developing a clean, secure integration architecture.
Architecture Philosophy

We expect you to understand that an LLM should not control everything.

You should know how to determine when to use:
Deterministic business rules
Traditional algorithms
Search
Database queries
Machine learning
Knowledge graphs
Vector retrieval
LLM reasoning
External tools
Human approval
Our goal is reliable enterprise intelligence—not AI theater.
Security & Enterprise Readiness
You should understand:
Data minimization
Role- and attribute-based access
Tenant isolation
Encryption
Secrets management
Auditability
PII handling
Model-provider data policies
Prompt injection risks
Tool permissions
Least-privilege access
Production monitoring
Failure recovery

How We Work
This is a high-accountability environment.

We expect:
Proactive communication
Dependability
Ownership
Clear documentation
Early escalation of blockers
Thoughtful technical pushback
Respect for scheduled meetings and commitments
Independence without isolation
If something changes, communicate.
If you see a problem, raise it.
If you own something, drive it.

Ideal Candidate
You likely have:
5+ years of software, backend, platform, ML, AI or data-engineering experience
Significant hands-on experience with production generative AI systems
Experience integrating complex enterprise environments
Strong Python skills
Strong API and data architecture experience
Experience with multiple model providers
Production deployment experience
Excellent troubleshooting skills
The ability to explain technical decisions to nontechnical stakeholders
Engagement: Contract, with potential to expand based on performance and company needs.
Candidates should be prepared to demonstrate previous systems they have personally built and may participate in a live technical architecture exercise.

We're a proptech company with a working product that was built fast using AI-assisted "vibe coding." It proves out the concept and demos well, but it isn't production-grade yet. We're looking for a senior full-stack AI engineer to spend the next 3 months hardening the codebase, closing security and scalability gaps, and getting us to a stable, maintainable, production-ready release.

You'll be comfortable inheriting AI-generated code, untangling it, and rebuilding the weak parts properly — without losing momentum.

What you'll do

Refactor and productionize an existing Django/Python + Next.js application
Audit and fix architecture, data models, and API design
Harden security, authentication, and permissions
Set up proper testing (unit/integration), CI/CD, logging, and monitoring
Optimize and deploy on AWS (containers, environments, cost/performance tuning)
Improve and stabilize AI/LLM features already in the product
Document the system so the team can maintain it after handoff


Required skills

Strong Python + Django (REST APIs, ORM, migrations)
Next.js / React front-end experience
Solid AWS deployment experience
Hands-on with AI/LLM integrations (OpenAI/Anthropic APIs, RAG, prompt/pipeline work)
Experience taking prototypes/MVPs to production
Comfort reading and refactoring AI-generated / messy codebases

Nice to have

Proptech or real-estate industry experience
MLS Integration
Postgres performance tuning
Prior experience cleaning up "vibe-coded" projects

To apply, please answer:

Share an example where you took an MVP or prototype to production. What was broken and how did you fix it?
Describe your experience with AI/LLM features in a live product.
Do you have proptech experience? If so, briefly describe it.
Your AWS deployment setup of choice for a Django + Next.js app, and why.

We are looking for an experienced Python developer specializing in browser automation (Selenium, Playwright, or Undetected ChromeDriver) to build a custom automation tool for workflow testing and account management processes.

The ideal candidate will have strong experience with web automation, handling structured data storage (CSV/SQLite), and implementing proper rate-limiting and session management.

Key Responsibilities
Build a modular Python script using Selenium or Playwright to automate multi-step account creation and profile setup workflows.

Develop a secondary script to handle automated interaction tasks based on structured input queues and configurable schedules.

Integrate local data storage (SQLite or CSV) to track account credentials, session data, and interaction history.

Implement custom timing controls, user-agent rotation, and exception handling to ensure stable execution.

Provide clear documentation, dependency requirements, and a short demonstration video of the completed workflow.

Required Skills & Qualifications
Strong proficiency in Python 3.x

Deep experience with Selenium WebDriver, Playwright, or similar browser automation frameworks

Solid understanding of data storage using SQLite and CSV libraries in Python

Experience handling anti-bot mechanisms, proxy integration, and dynamic web element loading

Ability to write clean, modular, and well-documented code

Project Deliverables
Core automation script for profile registration and configuration.

Companion interaction module with configurable queuing and task distribution.

Setup guide, list of dependencies, and example configuration files.

Demo video or screenshot walkthrough confirming functional workflow.

How to Apply
When submitting your proposal, please include:

Brief summary of relevant browser automation projects you have built.

Preferred tools and libraries for handling modern web automation challenges.

Estimated timeline for completing both modules and testing.

Open-Source Inventory & POS Consultant Needed – Furniture Retail, Laybye & WooCommerce Integration

We are looking for an experienced ERP/POS consultant and developer to research, recommend, install, configure, and customize an open-source inventory management and Point of Sale (POS) system for an established furniture retail business.

The system will primarily be used on Windows-based computers in our physical retail store and must integrate with our existing WooCommerce e-commerce website.

We are not committed to a particular software platform.

The successful consultant should evaluate suitable open-source solutions such as ERPNext, Dolibarr, Odoo Community, uniCenta POS, Chromis POS, Axelor, Flectra, or other appropriate alternatives, and recommend the best solution for our requirements.

Phase 1 – Research & Software Recommendation

Before implementation, we want the consultant to research and compare suitable open-source solutions.

Please consider:

Ease of use for retail staff
POS functionality
Inventory management
Furniture retail suitability
Laybye/layaway functionality
WooCommerce integration
Customer account management
Supplier and purchasing management
Reporting
Windows compatibility/access
Offline/local operation where practical
Data ownership
Backup and recovery
Reliability
Security
Ease of future customization
Quality of open-source/community support
Availability of developers for future maintenance
Long-term costs
Scalability to additional branches

We would prefer a solution that does not require expensive recurring licence fees for essential functionality.

The consultant should provide a shortlist of approximately 3–5 suitable systems, explain the advantages and disadvantages of each, and recommend the best option for our business.

Phase 2 – Installation & Configuration

After we agree on the software, the freelancer should install and configure the selected system.

This should include:

POS setup
Inventory setup
Customer database
Supplier management
Purchasing and stock receiving
User accounts and permissions
Product categories
Product variations
Product images
Pricing
VAT/tax configuration
Barcode support
Receipt/invoice printing
Returns and refunds
Quotations
Reporting
Backup and restore procedures
Laybye/Layaway Functionality

Laybye functionality is a very important requirement.

Our customers should be able to select furniture, pay a deposit, and make additional payments over time before collecting or receiving their goods.

The system should therefore support, either natively or through customization:

Creating a laybye sale
Initial deposit
Multiple instalment payments
Recording each payment
Outstanding balance calculation
Payment history
Due dates/payment schedules where required
Customer statements
Laybye status
Fully paid status
Cancellation of a laybye
Refund/credit rules
Holding/reserving stock against a laybye
Converting a completed laybye into a final sale
Printing or emailing receipts after each payment

We are open to customization if the recommended ERP/POS does not provide all these features natively.

Inventory Requirements

As a furniture retailer, inventory management is extremely important.

We need:

Stock on hand
Stock available
Stock reserved
Stock on laybye
Stock sold but awaiting delivery
Stock on order from suppliers
Stock receiving
Stock adjustments
Stock transfers
Low-stock alerts
Product cost
Selling price
Gross profit reporting

It should also accommodate products with variations such as:

Colour
Size
Fabric/material
Finish
Model
Brand
WooCommerce Integration

The selected system must integrate with our WooCommerce online store.

Ideally, there should be one central inventory database, so that products sold online or through the physical store automatically update available stock.

Integration should include as much as possible:

Product synchronization
SKU synchronization
Inventory/stock synchronization
Price synchronization
Product variation synchronization
Online order import
Customer synchronization
Order status updates
Automatic inventory adjustment

We want to avoid manually maintaining separate inventory records for the physical store and online store.

Reporting

The system should provide useful management reports, including:

Daily sales
Weekly/monthly sales
Sales by salesperson
Sales by product/category
Gross profit
Inventory valuation
Stock movement
Best-selling products
Slow-moving products
Outstanding laybyes
Laybye payments received
Customer balances
Supplier purchases
Future Scalability

We want a system that can grow with the business.

Future enhancements could include:

Multiple retail branches
Centralized inventory
Multiple warehouses
Delivery scheduling
Delivery tracking
Customer SMS/WhatsApp notifications
Loyalty programme
Gift vouchers
Payment gateway integration
Accounting software integration
Mobile stock checking/scanning
Advanced reporting and dashboards

These future features are not necessarily required in the initial implementation, but the recommended platform should ideally allow them to be added later.

Deliverables

The freelancer will be expected to:

Understand our business requirements.
Research suitable open-source ERP/POS platforms.
Compare approximately 3–5 suitable solutions.
Recommend the best solution and explain why.
Install the selected system.
Configure it for our furniture retail business.
Implement/customize laybye functionality.
Integrate it with WooCommerce.
Configure users, permissions and security.
Configure reporting.
Test the complete system.
Provide documentation.
Train key staff remotely.
Assist during initial rollout/go-live.
Who We Are Looking For

We prefer someone who has experience implementing more than one ERP/POS platform and can therefore provide an independent recommendation.

Experience with systems such as the following would be useful:

ERPNext
Dolibarr
Odoo Community
Axelor
Flectra
uniCenta POS
Chromis POS
Other open-source retail ERP/POS systems

WooCommerce integration experience is essential.

When Applying

Please answer the following:

Which open-source ERP/POS systems have you personally implemented?
Based on the requirements above, which 3 systems would you shortlist for us?
Which one would you currently recommend and why?
Does your recommended solution support laybye/layaway natively, or would this require customization?
How would you handle stock reserved for customers on laybye?
How would you integrate the POS/inventory system with WooCommerce to prevent stock discrepancies?
Have you previously integrated an ERP/POS system with WooCommerce? Please provide examples.
Have you previously implemented a POS/inventory system for a furniture, appliance, electronics, or similar retail store?
What would you charge for the research and recommendation phase?
What is your estimated cost and timeframe for the complete implementation?
Important

We are not looking simply for a developer who knows one particular ERP system and wants us to use it.

We want someone who understands retail operations and can objectively research the available open-source solutions, recommend the most suitable platform, and then implement it successfully.

There is potential for ongoing paid work and long-term support after successful implementation.

We run an established B2B SaaS with paying customers on a live multi-tenant platform. AI is already part of the product, we've shipped an AI assistant and RAG-powered search and now we're looking for a senior engineer to help build the next generation of AI capabilities.
I'm looking for someone who can own AI features from end to end. That means understanding the user problem, designing the experience, building the frontend, implementing the backend, integrating the model, testing everything properly, and shipping production-ready code.
You'll be joining an existing product, not starting from scratch. The infrastructure, architecture, and engineering patterns are already in place. Here's what's next on our roadmap:
An AI-powered onboarding flow that configures a new workspace from a plain-English description of the customer's business.
Inline AI actions across existing forms to rewrite, summarize, extract, and classify content while users are working.
An AI insights page that sits on top of our analytics data and turns it into clear, actionable narratives.
What I'm Looking For
I'm looking for the kind of engineer who can take a one-paragraph feature brief and come back with a clean, production-ready pull request after asking the right questions.
You care about how AI actually feels inside a product. You know when to stream responses instead of showing spinners, when optimistic updates make sense, and how to handle failures without breaking the user experience.
You write code that's clean, maintainable, and easy for the rest of the team to build on long after the contract ends.
You Should Be Comfortable With
Next.js, React, and TypeScript at a senior level, including complex state management and streaming UI.
Node.js and Python for backend development.
Claude API and OpenAI API, including prompting, tool calling, structured outputs, and streaming.
PostgreSQL and working confidently inside a mature multi-tenant codebase you didn't build.
Owning features end to end with minimal supervision, communicating early when you hit blockers instead of disappearing.

Mutiple parcels
Customs Information
Dutys - Paid or Unpaid (We will need to add this to our webhook sent to make)
ExportReason - (We will need to add this to our webhook sent to make)
Must report a clean the error back if there is one.

Send us back the tracking number and cost

Can you test in sandbox please

I will give you access to the make Sanario and credentials for parcel 2 go account
Can you quote please

We're looking for a freelance full-stack developer to build the MVP of an app that connects workers with clients who need their services, with in-app payments and an automatic commission per transaction (similar to Uber/Airbnb's model).

What we need:

Mobile or web app (React Native/Flutter or React/Next.js) + backend (Node.js/Python) + database.
Matching system between workers and clients with geolocation.
Payment gateway with automatic split (Stripe Connect or similar) to collect commission.
Basic admin panel.

Requirements:

Proven experience building end-to-end apps or marketplaces (portfolio required).
Experience integrating payments with commission splitting.
Fluent English.

Project type: Milestone-based, with potential for ongoing work after the MVP.

When applying, please include examples of similar projects and a brief proposal covering your suggested stack and timeline.

We’re seeking a Data Scientist or Machine Learning Engineer to build a fraud detection model using an insurance claims dataset. The project includes data cleaning, exploratory analysis, feature engineering, and model development for identifying potentially fraudulent claims. You will evaluate model performance using precision, recall, F1-score, and ROC-AUC, and deliver visualizations, a final report, and well-documented Python code. This project is expected to last 3–6 weeks, with 20–30 hours per week. When applying, briefly describe a similar ML or data science project you’ve completed and the algorithms you would use for fraud detection.

Needs to hire 3 Freelancers
Summary
- Requirements
5+ years experience in AI / Machine Learning
Strong Python skills and experience with ML frameworks
Experience building and deploying ML models
Familiar with AWS, Azure, or GCP
Good problem-solving skills

- Work Details
40 hours per week
Must work in EST time zone
Fully remote

- Location Preferred
Pakistan, India, or Dubai

- Communication
Fluent English
Accent close to American English
Flexible and professional communication style

-Salary
weekly $200

I’m looking for an experienced Python developer to build a custom data scraper for a personal project.

The project details will be shared with shortlisted candidates.

If this is something you can help with, I would be pleased to speaking to you!

We are looking for a Senior AI Developer and RAG Developer to build a production-ready AI Agent for internal knowledge search, document Q&A and business workflows.

The ideal AI Engineer has experience with RAG, LLM applications, AI Agent Development, LangGraph, LangChain, OpenAI API, Claude API, Vector Databases, Python, FastAPI and API Integration.

Scope

• Build an Enterprise RAG and AI Agent architecture
• Ingest documents and internal knowledge sources
• Implement semantic search, hybrid retrieval and reranking
• Add OpenAI or Claude with source citations
• Build Tool Calling and API Integration workflows
• Add structured output, Memory and Human-in-the-Loop
• Implement evaluation, logging and error handling

Required experience

• AI Developer, AI Engineer or RAG Developer
• RAG, LLM and Agentic AI
• LangGraph, LangChain or LlamaIndex
• Python, FastAPI and API Integration
• Pinecone, Weaviate, Qdrant or pgvector
• Prompt Engineering and Natural Language Processing

Experience with MCP, Knowledge Graphs, Docker, AWS, Azure and PostgreSQL is a plus.

Deliverable

A working RAG AI Agent MVP with document ingestion, Vector Database, retrieval workflow, OpenAI or Claude integration, source citations, one API integration and basic documentation.

Please share a relevant RAG, AI Agent or LLM project and briefly explain the architecture and result.

I need a python script to be automated.

One of my freelancers has developed a scalping script (work can be seen in the video attached). The project is available with respective python script, and I also have VPS and proxies, if needed for the project.

Please go through the video, and let me know if you can automated it. Basic need is optimization of script, so that multiple instances can be run and data scalped using multiple browser windows.

Also, the end expectation is to have a .csv file to database to be created (in English) which can later be indexed, and also searched.

In case you have any other idea for this purpose which can work better or have any more questions or feel budget is too low, then do get back.

Hi Bogdan,

I'm working on a side project involving box office forecasting for movies, and I'm looking for a statistician to help me build a robust predictive model.

Here's some context: I have a dataset of around 50 comparable films, and I want to forecast the box office performance of a target film based on this sample. I already have a solid grasp of statistical fundamentals (descriptive statistics, correlation, linear regression), but I don't have the time to go deeper into the more advanced techniques within my timeline.

Specifically, I'm looking for expertise in:

Multiple regression with a small sample size (n≈50) and the associated bias/variance trade-offs
Regularization methods (Ridge, Lasso, Elastic Net) to handle limited observations relative to the number of predictors
Comparable-based methods (k-nearest neighbors, weighted matching) for similarity-driven forecasting
Uncertainty quantification (bootstrap resampling, prediction intervals)
Ensemble modeling / stacking to combine multiple approaches into a final forecast

Do you have hands-on experience with these techniques, ideally applied to revenue or sales forecasting problems? If so, I'd love to hear how you'd approach this kind of project — what your typical workflow looks like, and what you'd need from me to get started (data format, variable list, etc.).

Looking forward to hearing from you — this is my first time using upwork, so I'm also curious how the process typically works on your end.

Best,
Alex

We are a fintech research entity operating in stealth mode requiring a Senior Cryptographer and Protocol Architect for a short-term forty hour engagement starting this October to draft a comprehensive Technical Framework Document and Whitepaper evaluating the architectural trade-offs key sizes and verification latency of NIST-approved post-quantum signature schemes specifically ML-DSA and Falcon when implemented on standard Secure Elements EAL6+ for high-frequency transaction settlement. The engagement is strictly capped at forty hours total distributed over four consecutive milestones with a maximum of ten hours per milestone where payments and approval will be managed via sequential milestone verifications. During milestone one which equals ten hours of work the engineer will perform a mathematical analysis of ML-DSA and Falcon parameters optimization for constrained hardware environments like Secure Elements to deliver a preliminary technical brief on algorithm selection and key-size efficiency at the end of the phase. In milestone two which equals ten hours of work the engineer will design the cryptographic sequence for secure high-frequency transaction signing token generation and state validation to deliver a set of technical architectural diagrams illustrating end-to-end cryptographic transaction flows. During milestone three which equals ten hours of work the engineer will compile the core mathematical proofs execute the vulnerability analysis against classical and quantum attack vectors and author the first draft of the paper to deliver the first draft of the Technical Framework Document consisting of approximately eight to ten pages of academic and technical English. During milestone four which equals ten hours of work the engineer will formulate latency trade-off charts conduct a peer-level review of the document and finalize the text to deliver the Final Technical Whitepaper consisting of fifteen investor-ready pages containing full structural specifications and architectural diagrams. The candidate must hold an advanced degree with a PhD preferred or have an equivalent deep research background in Post-Quantum Cryptography alongside prior contribution to or extensive knowledge of the NIST PQC standardization process and a deep understanding of blockchain architectures and constrained hardware constraints specifically NFC and Secure Elements while absolute confidentiality is mandatory and a Mutual NDA will be required prior to sharing the internal operational scope

I am looking for an experienced Python / browser automation developer to build a small technical proof of concept.

The purpose of the project is to evaluate whether publicly available retail financial product information and results from interactive online loan calculators can be collected automatically, accurately and repeatedly.

This is not a SaaS development project and no UI/dashboard is required. The primary goal is technical feasibility testing.

Scope

The initial PoC will cover:

5 financial institution websites
one European market
one retail lending product category
one standardized loan scenario

The system should collect publicly available product information such as:

loan amount and term limits
advertised interest rates
origination/contract fees
recurring administration fees
relevant conditions attached to the advertised offer

It should also be able to interact with JavaScript-based loan calculators where available, enter a predefined loan amount and term, and extract the resulting financial values.

Results should be returned as structured JSON and CSV data, together with source information and collection timestamp.

An important part of the project is determining whether extracted values actually correspond to the scenario entered into the calculator, rather than simply extracting unrelated representative examples displayed elsewhere on the page.

The extraction must be repeatable and should fail safely: if a value cannot be reliably determined, it should be flagged for review rather than inferred or fabricated.

Preferred experience:
Python
Playwright or equivalent browser automation
web scraping / structured data extraction
JavaScript-heavy websites and interactive forms/calculators
network/API inspection
data validation

Experience with LLM-assisted structured extraction is useful, but strong browser automation and data extraction experience is more important.

Deliverables:
working PoC for the selected websites
source code
structured sample output
basic setup/run instructions
short technical feasibility assessment covering scalability, website-specific implementation and expected maintenance

This is an experimental feasibility project, not production software. A more detailed technical specification will be provided to shortlisted candidates.

The selected freelancer will be asked to sign a standard NDA before receiving the detailed technical specification and test website information.

Please start your proposal with the word PLAYWRIGHT so I know you have read the full description.

I am Software Engineer with 10+ years experience and I look for suitable vacancies/positions in these days.

I am looking for

1) 150 jobs link(from dedicated company page not scam platforms) with one of the following title

2) titles: Senior Backend Engineer, Senior Software Engineer, Senior Software Developer, Senior Python Engineer, Software Engineer

3) which is global remote or remote from EU,

4) where the word Python mentioned in their job description.

If someone could show me how can I do in the future I will pay additional bonus.

seeking only highly experienced, certified OpenStack and AI Infrastructure professionals with a proven track record of delivering enterprise or government-scale deployments.

Mandatory Certifications
Please provide copies or verifiable links for relevant certifications held by the proposed team members.

Project Type: Fixed Price / Long-Term Opportunity
Location: Remote (Preference for GCC Time Zone Overlap)
Duration: 4-8 Weeks (Initial Deployment) with Potential for Ongoing Support

Project Overview

We are looking for an experienced OpenStack Infrastructure Delivery Team to support the implementation of a large-scale AI Compute Infrastructure project for a government customer in the UAE.

The hardware platform is being supplied directly by the OEM (Supermicro/NVIDIA) under a Hardware-as-a-Service (HaaS) model. The OEM is responsible for hardware supply, warranty, parts, labor, and hardware support.

We are NOT looking for a hardware supplier.

We are seeking a professional services team that can successfully design, deploy, configure, commission, and hand over the OpenStack-based AI infrastructure.

Scope of Professional Services

The selected team will be responsible for delivering the complete implementation and professional services, including:

Project Planning & Solution Architecture
Review customer requirements and hardware architecture
Prepare deployment design and implementation plan
Infrastructure readiness assessment
Project management and coordination
Hardware Deployment Support
Rack & Stack supervision
Hardware verification and validation
Firmware and BIOS validation
GPU hardware validation
Burn-in and stress testing
Infrastructure health verification
OpenStack Deployment
OpenStack architecture and design
Controller and compute node deployment
Nova configuration
Neutron networking
Cinder block storage
Glance image services
Keystone identity management
Horizon dashboard
High Availability configuration
Cluster configuration and optimization
AI Platform Configuration
NVIDIA GPU driver installation
GPU enablement and validation
GPU resource configuration
CUDA/NVIDIA runtime validation
Performance tuning
Networking & Storage
Network configuration
VLAN and interface configuration
Storage configuration
Performance optimization
Connectivity validation
System Validation & Commissioning
Functional testing
Performance benchmarking
GPU validation
Cluster acceptance testing
Production readiness assessment
Commissioning support
Security & Best Practices
OpenStack security hardening
Access control configuration
System hardening
Logging and monitoring configuration
Documentation & Knowledge Transfer
As-built documentation
Configuration documentation
Operational runbooks
Administrator guides
Knowledge transfer sessions
Handover documentation
Project Closure
Customer acceptance support
Final documentation
Deployment sign-off
Skills Required
OpenStack (Enterprise deployments)
NVIDIA GPU Infrastructure (H100/H200 preferred)
Supermicro AI Servers
Linux (RHEL/Ubuntu)
KVM Virtualization
Ceph Storage
Open vSwitch
High Availability
Enterprise Networking
Infrastructure Automation (Ansible preferred)
Python/Shell scripting
AI Infrastructure deployment experience
Nice to Have
Red Hat OpenStack Platform (RHOSP)
Canonical OpenStack
NVIDIA AI Enterprise
Kubernetes/OpenShift
Slurm or AI workload schedulers
Mellanox / NVIDIA InfiniBand
100/400Gb Networking
Government or large enterprise deployment experience
Deliverables

The selected team will deliver:

Solution Design Documentation
Deployment Plan
OpenStack Installation & Configuration
GPU Cluster Configuration
Infrastructure Validation Report
Performance Test Report
Security Hardening Checklist
As-Built Documentation
Operational Runbook
Knowledge Transfer
Final Acceptance Documentation
Proposal Requirements

Please include the following with your proposal:

Company profile or team overview
Relevant OpenStack project experience
Similar AI/GPU infrastructure deployment references
Team composition and individual roles
Deployment methodology
Estimated timeline
Availability to start immediately
Relevant certifications (OpenStack, Red Hat, NVIDIA, Linux, etc.)

PROJECT SCOPE – REALTOR.COM INSPIRED REAL ESTATE PLATFORM (WEB & MOBILE)

1. FEATURES

1.1 Multi-Role Authentication (User, Agent & Admin)
1.2 User Registration & Login
1.3 User Profile Management
1.4 Agent Dashboard (Manage Listings & Inquiries)
1.5 Admin Dashboard
1.6 Property Search (City, ZIP Code, Address)
1.7 Advanced Property Filters
1.8 Interactive Google Maps with Property Pins & Satellite View & Google Earth View
1.9 Property Listing & Details Page
1.10 Image Gallery (Cloudinary)
1.11 Save/Favorite Properties
1.12 Property Comparison
1.13 Mortgage Calculator
1.14 Nearby Schools, Hospitals, Parks, Restaurants & Shopping Centers
1.15 Contact Agent
1.16 Schedule Property Viewings
1.17 Notifications (Saved Searches & Price Updates)
1.18 Property Management (Add, Edit, Delete & Approve Listings)
1.19 User & Agent Management
1.20 Featured Properties Management
1.21 Reports & Analytics Dashboard
1.22 Cross-Platform Mobile Application (Android & iOS)
1.23 Push Notifications
1.24 Mobile-Friendly Property Browsing & Search

2. FUNCTIONAL REQUIREMENTS

2.1 The platform shall support three account types: User, Agent, and Admin.
2.2 Users and Agents shall be able to register, log in, and manage their accounts.
2.3 Administrators shall have secure access to the Admin Dashboard.
2.4 Users shall be able to search for properties by location, ZIP code, or address.
2.5 Users shall be able to filter properties by price, property type, bedrooms, bathrooms, and other criteria.
2.6 Properties shall be displayed in both list and interactive map views.
2.7 Users shall be able to view detailed property information, including images, amenities, and location.
2.8 Users shall be able to save and manage favorite properties.
2.9 Users shall be able to compare multiple properties side by side.
2.10 The platform shall include a mortgage calculator.
2.11 The platform shall display nearby schools, hospitals, parks, restaurants, and shopping centers.
2.12 Users shall be able to contact agents and schedule property viewings.
2.13 Agents shall be able to create, edit, and manage their property listings.
2.14 Administrators shall be able to manage users, agents, and property listings.
2.15 Administrators shall be able to approve, feature, or remove property listings.
2.16 Users shall receive notifications for saved searches and property price updates.
2.17 Payment Integration for Subscription and any Payments.
2.18 The platform shall provide a Flutter mobile application for Android and iOS with the same core functionality as the web platform.
2.19 User accounts, favorites, notifications, and property data shall synchronize seamlessly between the web and mobile applications.

3. NON-FUNCTIONAL REQUIREMENTS

3.1 Fast and responsive performance.
3.2 Secure authentication and data protection.
3.3 Responsive web design for desktop, tablet, and mobile browsers.
3.4 Native-like cross-platform mobile application using Flutter.
3.5 Scalable backend using Supabase.
3.6 Cloudinary integration for image management.
3.7 Google Maps integration.
3.8 Clean, modern UI inspired by Realtor.com while maintaining a unique and original design.
3.9 SEO-friendly and optimized for modern web browsers.
3.10 Consistent user experience across web and mobile platforms.

We are looking for Senior DevOps with strong AI skills. We have large infrastructure of baremetal servers and highload services. You will be responsible for running day to day support and improvements in team of Senior DevOps and Tecnical manager.

We are looking for data analytic who can make research in open data, find all top products in particular GEO and build hypothesis for us to enter the market. All details will be provided to a potential candidate.

We are looking for an experienced Full-Stack Engineer to be the primary technical owner of a 6-week Social Media Analytics & Monitoring Platform project.

The Project

We are building a centralized platform that integrates Instagram, Facebook, and X/Twitter to help an organization monitor and analyze social media activity.

The platform will:

Connect to Instagram, Facebook, and X/Twitter
Collect posts, comments, DMs, and public social media content
Monitor public content based on keywords
Store and normalize social media data into a centralized database
Use AI to classify sentiment, urgency, topic, and location
Trigger alerts for important/urgent content
Provide a web dashboard for monitoring, filtering, trends, and reporting

Social media integration is a key part of this project. Depending on platform limitations, integrations may use official APIs, third-party data providers such as Apify, and potentially browser automation.

What You'll Own

You will be the main engineer / technical owner, working directly with the Project Manager.

Your responsibilities include:

Design the overall technical architecture
Integrate Instagram, Facebook, and X/Twitter data sources
Build data ingestion and synchronization pipelines
Handle API authentication, rate limits, retries, and failures
Design the database and backend APIs
Integrate LLM/AI APIs for classification
Build the analytics dashboard
Implement alerts and background jobs
Deploy the application and set up basic monitoring
Support testing, UAT, and production launch

Additional engineering support can be brought in if specialized help is needed.

Skills We're Looking For

Strong experience with:

React / Next.js
Node.js and/or Python
PostgreSQL
REST APIs & third-party integrations
Background jobs / data pipelines
Cloud deployment
Building production web applications end-to-end

Highly valuable experience:

Meta Graph API / Instagram / Facebook APIs
X/Twitter API
Apify or other social media data providers
Web scraping / Playwright / Puppeteer
OpenAI / Gemini / Claude APIs
Redis / queues / scheduled jobs
Project Details

Duration: ~6 weeks
Start: ASAP
Type: Freelance / project-based
Availability: Ideally 30+ hours/week
Potential extension: Ongoing maintenance after launch

We're looking for someone who can own the technical implementation, make pragmatic decisions, identify integration risks early, and ship quickly.

When Applying

Please include:

Your most relevant full-stack project
Any experience integrating Instagram, Facebook, X/Twitter, or other social media platforms
Experience with scraping / Apify / browser automation, if any
GitHub or portfolio
Availability for the next 6 weeks

Start your proposal with SOCIAL so we know you've read the post.

We are looking for a capable Full Stack Developer to complete an initial project setup for a Web Application with the potential for ongoing collaboration upon successful delivery.

If you are a reliable React Developer with strong JavaScript, CSS, and database experience who can build interfaces and connect them with Node.js and Directus Headless CMS, this project is for you.

Project Scope & Overview
This is a focused initial project aimed at building core features and API Integration for an MVP. As a full stack developer react node, you will be responsible for frontend UI component building, CMS and database setup, and connecting backend endpoints.

Responsibilities
Develop responsive user interfaces using React, JavaScript, and modern CSS.

Set up backend routing and endpoints using Node.js and ExpressJS.

Work with MongoDB and Directus Headless CMS for structured data management.

Implement custom API architecture and third-party API Integration.

Deliver clean, well-tested code as a Node.js Developer according to the agreed milestone plan.

Requirements
Practical experience as a Full Stack Developer building a complex Web Application.

Strong skills as a React Developer with deep knowledge of JavaScript and CSS.

Proven experience as a Node.js Developer using ExpressJS and MongoDB.

Hands-on experience with Directus CMS setup and API management.

Ability to deliver a fixed-scope initial project efficiently.

Seeking an experienced Android systems developer to customize and stabilize an Android 5.1 Qualcomm MSM8909-based PTT device. The project includes modernizing the UI/UX, integrating an existing PTT application with our communication platform, investigating a recurring boot/display issue, and analyzing Android framework components (WindowManager, SystemUI, display lifecycle, and vendor firmware) to deliver a stable production solution. Experience with embedded Android, Java, Android Studio, and low-level system debugging is preferred.

We run an established B2B SaaS with real customers on a multi-tenant platform. Our AI roadmap is growing faster than our in-house team can keep up with, so I'm looking for one senior engineer who can genuinely own AI features end to end — understand the user problem, design the flow, build the frontend, write the backend, wire up the model, test it, and ship it.
We've already shipped an AI assistant and RAG-based search, so you won't be starting from zero. The infrastructure, patterns, and conventions exist. What's next on the roadmap:
• An AI-powered onboarding flow configures a new workspace from a plain-English description of the customer's business.
• Inline AI actions across our existing forms — rewrite, extract, and classify, right where users are typing.
• An insights page that sits on top of our analytics data and turns it into readable AI-generated narratives.
How we'll start
I don't want to hand a stranger the whole roadmap on day one, and honestly you probably don't want that either. So we start small: one paid, clearly scoped task — a single inline AI action (summarize + classify) on one of our existing forms, built end to end from the UI button to the Claude call to the saved result.
You'll get Slack and GitHub access, work on a feature branch, and I'll personally review your PR. A detailed technical spec for this first task is ready and I'll share it as soon as we start talking, so you'll know exactly what you're walking into.
What I'm looking for
The kind of engineer who takes a one-paragraph feature brief and comes back with a shipped PR, having asked sensible questions along the way. Someone who cares about how AI actually feels in a UI — streaming instead of spinners, optimistic updates, graceful failures instead of broken pages. And someone who writes code the rest of the team can maintain after the contract ends.
You should be comfortable with
• Next.js / React / TypeScript at a senior level, including complex state management and streaming UI.
• Node.js and Python backend development — REST and GraphQL.
• Claude API and OpenAI API: prompting, tool calling, structured outputs, streaming.
• PostgreSQL and working safely inside a mature multi-tenant codebase you didn't write.
• Owning a feature end to end with minimal supervision — you flag blockers early instead of going quiet.
Nice to have (not required)
Vercel AI SDK, Tailwind, WebSockets, LangChain, or prior experience shipping B2B SaaS products.
How to apply
Please skip the generic copy-paste pitch, I can tell, and it goes straight to the archive. Start your proposal with the word “Harbor” so I know you actually read this far. Then, in a few lines, tell me about one AI feature you built completely on your own — UI to backend to model — and what you would improve about it today. Links to live work beat certificates every time.
Screening questions
• Tell us about an AI feature you built completely on your own: frontend, backend, and model integration. What did you ship, and what would you improve now?
• Our features must feel instant even when the model takes seconds. What patterns do you use (streaming, optimistic UI, background jobs) to keep AI UX fast — and where have you actually applied them?

Need an engineer to integrate the GRG CRM9250N Cash Recycler with our ATM software using C#, Python, and Java. We already have the manual and SDK, and we need someone who has experience writing code for ATM machine component integrations. This is an urgent project, and we need the work completed as soon as possible.

Seeking an experienced C#/.NET developer for a short (1–2 day) hardware integration task: we have a working .NET 8 WPF ATM application and need a GRG CRM9250N cash recycler integrated via the manufacturer's SDK. The heavy lifting is already done — you'll receive a prepared P/Invoke interop layer (CRM9250NNative.cs), a high-level service class (RecyclerService.cs), a corrected GRGDTATM_CommCfg.ini, and a step-by-step integration guide with a diagnosis of the current error. Your job is to: (1) verify the SDK DLL's exported function names with dumpbin /exports and align the bindings, (2) verify struct layouts against the SDK header files, (3) set the project to x86 and deploy the config files next to the exe, (4) wire the service into our existing withdrawal (WithdrawHelper) and deposit screens per the guide, and (5) run the bench test sequence (single-note dispense, deposit/return/commit, retract) against the physical unit via remote access to the ATM host PC, which we will provide. Required: strong C# and P/Invoke/native interop experience, comfort reading C header files, and serial/USB device debugging; prior ATM or cash-handling hardware (GRG, NCR, Diebold, Hyosung, ITL, MEI) experience is a big plus but not required given the documentation provided. Fixed-price preferred; please mention any device-integration work you've done in your proposal.

Two practical tips: candidates will filter on "P/Invoke" and "native interop" more reliably than "ATM," so those keywords matter most, and remote access to the machine with the recycler attached is the real bottleneck — have AnyDesk/TeamViewer ready before the contract starts, since nobody can finish this in a day against hardware they can't reach.

We are looking for a Full Stack Developer with strong skills in React.js and Python to develop, maintain, and improve our application. The candidate will be responsible for frontend and backend development, API integration, database management, bug fixing, and application performance. The role will also involve resolving issues related to app functionality, timing synchronisation, PDF access, customer data, and Vercel/deployment.

We are seeking an experienced AI Automation, AI Integration, and CRM Integration Expert to develop intelligent workflows and automate business processes. The ideal candidate must have hands-on experience with OpenAI, Claude AI, Gemini, n8n, Make.com, Zapier, LangChain, Python, Node.js, REST APIs, Webhooks, HubSpot, Salesforce, Zoho CRM, GoHighLevel, and CRM integrations. If you have a proven track record of delivering AI-powered automation solutions, please share your relevant experience.

A repository contains the original feature files, humanized feature files, notebooks, model code, saved predictions, figures, and result summaries used to prepare the manuscripts.
The objective is to make all experiment-derived figures, tables, numerical results, and manuscript statements internally consistent and reproducible.

We are a non-profit research organisation in Germany building an AI assistant that helps people with limited German understand official letters and complete government forms. The project is publicly funded by the German Federal Ministry of Labour and Social Affairs and runs until mid 2027.

For this contract we need the data foundation: a canonical data schema covering the fields of German administrative forms, generators that produce synthetic records against that schema, and the resulting datasets. No real personal data is involved at any point, everything is synthetic by design.

DELIVERABLES, FOUR MILESTONES

30 Sep 2026: data schema, generation concept, working prototype, pilot dataset
31 Oct 2026: datasets for a first group of forms in all target languages
30 Nov 2026: two further forms plus a validation dataset
31 Dec 2026: consolidation, documentation, handover

Scope per milestone is agreed with us at the start of each period, so there is room to adapt as the project learns.

WHAT WE ARE LOOKING FOR

Experience turning form structures into data models, comfort with synthetic data generation, and ideally exposure to multilingual datasets. Arabic, Ukrainian, Turkish, Russian or Farsi are relevant target languages.

PRICING AND DEADLINE

We have deliberately set no budget for this contract. Please quote your own fixed price for the full scope, in EUR. Payment follows acceptance of each milestone.
Deadline for proposals: 12 August 2026, 12:00 CEST.

How we will decide: price 40 percent, experience with structured extraction from forms or PDFs 20 percent, experience with multilingual datasets 20 percent, availability across all four milestones 20 percent.

PLEASE ADDRESS THE FOLLOWING IN YOUR PROPOSAL

1. Describe one project where you extracted structured data from forms or PDFs. What was the input, what was the output?
2. Have you worked with multilingual datasets? Which languages, and what was your role?
3. Can you commit to four deliverables between now and 31 December 2026?
4. What is your fixed price for the full scope described?

TERMS

Fixed price contract under German law, payment per accepted milestone, all results transfer to us. The work will later be published under an open source licence.

We’re looking for an AI/ML engineer to help us build an MVP for a clinical document assistant.

The idea is simple: clinicians upload patient documents such as discharge summaries, laboratory reports, referral letters, and clinical notes. The system should extract the important information, organize it, and allow the clinician to ask questions about the documents using natural language.

The challenge is making this reliable. We don't want a chatbot that simply generates plausible answers. Responses should be grounded in the uploaded documents and provide references to the source information.

What we need

* Document upload and processing pipeline
* PDF/text extraction
* LLM-powered information extraction
* RAG-based question answering
* Vector database integration
* FastAPI backend
* Secure user/document isolation
* REST APIs for frontend integration
* Basic web interface for testing the MVP
* Cloud deployment

Expected MVP

A user should be able to:

1. Create an account
2. Upload a clinical document
3. Wait for it to be processed
4. Ask questions about the document
5. Receive an answer grounded in the document
6. See which part of the document supports the answer

We're open to using OpenAI, Anthropic, Gemini, or other reliable models. The architecture should make it possible to change providers later without rebuilding the application.

What I'm looking for

I care more about someone who can think through the problem than someone who simply follows a specification.

The code should be clean, documented, and easy for another developer to take over. I also want someone who will tell me when an approach isn't technically sound rather than just implementing it because I asked for it.

If the MVP goes well, there will be additional work around document classification, structured clinical data extraction, and workflow automation.

Please include:

* 2–3 relevant projects you've built
* Your proposed approach for the MVP
* Your availability
* Your hourly rate

I'm looking for someone interested in building this beyond the initial MVP, not just completing a one-off task.