AI Model Integration for Upwork Projects

Hello, I am looking for an experienced software development company to design and build a complete multi-tenant SaaS platform for AI-powered content creation, news management, media processing, scheduling, and multi-platform social media publishing. The platform is expected to support X, Instagram, Threads, and TikTok through their officially available APIs. It will also include AI provider integrations, customer and employee dashboards, role-based permissions, content approval workflows, news verification and rewriting, media and FFmpeg processing, CDN and cloud storage integration, subscriptions, billing, audit logs, two-factor authentication, IP restrictions, and responsive Arabic and English interfaces. A detailed project requirements document is available. Please provide: Your relevant SaaS and AI development experience. Examples of similar platforms. Your proposed technical architecture. The required project team. Recommended implementation phases. Estimated cost for each phase. Estimated delivery schedule. Post-launch maintenance and support options. Source-code ownership terms. Any limitations related to social media APIs. References from previous clients. Please note that the project must be developed as a scalable commercial product and not as a basic prototype or template-based dashboard. Best regards,

I’m expanding the TechTutorialz instructor team and need an expert who can deliver engaging live online sessions on Generative AI, AI Testing, and Prompt Engineering. My learners are mostly software professionals looking to deepen their practical skills, so I’m after someone who can move well beyond theory, demonstrate real-world workflows, and handle advanced Q&A on the spot.

Here’s what I have in mind: a series of live, interactive classes (Zoom or similar) where you guide students through hands-on projects—building and fine-tuning GenAI models, designing robust AI test strategies, and crafting effective prompts for LLMs. Each session should close with a mini-assignment and feedback loop so attendees can apply concepts immediately. Slide decks, code notebooks, datasets, and recorded replays will all form part of the final hand-over package.

If you thrive on explaining cutting-edge AI concepts, can share production-level tips, and enjoy the energy of real-time teaching, let’s talk about dates, curriculum flow, and the number of cohorts.

Skills: Prompt Engineering, Generative AI, AI Chatbot Development, AI Model Development, AI Content Creation, AI Content Writing, AI Model Integration, AI Development

l am looking for someone with deep understanding of Ai.This is to help me work on Ai projects.This is for a long term working relationship.Let me know if interested.

AI Developer Needed – Multi-Agent Real Estate Acquisition Platform

We are looking for an experienced AI developer to build a multi-agent AI platform that automates commercial real estate acquisition across the United States.

The platform should include AI agents that can:

* Find hard-corner, freeway exit, and high-potential commercial properties using GIS, satellite imagery, parcel, and traffic data.
* Analyze properties based on visibility, traffic counts, zoning, accessibility, and development potential.
* Identify property owners and gather contact information (phone, email, mailing address, business entities).
* Automatically send personalized email outreach and follow-up campaigns.
* Integrate an AI voice agent to call property owners, qualify leads, and schedule appointments.
* Store and rank properties in a searchable database with interactive maps and dashboards.

Preferred Skills

* AI Agents (LangGraph, CrewAI, AutoGen, OpenAI Agents, etc.)
* Python
* GIS / Geospatial Development (PostGIS, ArcGIS, Google Maps, Mapbox)
* Computer Vision & Satellite Imagery
* API Integrations
* Web Scraping & Data Enrichment
* Machine Learning / Predictive Analytics
* CRM, Email, and AI Voice integrations (Twilio, Bland AI, Vapi, Retell AI, etc.)
* AWS, Azure, or Google Cloud

Please include:

* Similar AI or real estate projects you've built
* Your recommended tech stack and architecture
* Estimated timeline and budget
* Whether you've built multi-agent AI systems before

Bonus: Experience with commercial real estate, property data, GIS, or land acquisition platforms.

We run a fantasy football content site and want to add a daily fantasy sports (DFS) lineup optimizer tool — similar in function to dailyfantasyoptimizer.com — that lets users upload player pools/projections and generate optimal DraftKings (and ideally FanDuel) lineups.

Core features needed:
- Linear programming / optimization engine to generate optimal lineups under salary cap constraints (standard knapsack-style DFS optimization)
- CSV upload for player salaries + projections (matching DraftKings/FanDuel export format)
- Support for player exposure limits (max % of lineups a player appears in)
- Stacking rules (e.g., QB + WR from same team, game stacks)
- Bulk lineup generation (50-150 unique lineups per run)
- Export lineups in DraftKings-compatible CSV format for direct upload
- Clean, simple single-page UI — no manual required to use it
- Start with NFL support (single sport is fine for v1; architecture should allow adding NBA/MLB later)

Nice to have (not required for v1):
- Editable/custom projections per player
- Basic backtesting against historical slates
- Player pool filtering (by position, salary, team)

What we need from you:
- Experience building optimization tools (linear/integer programming — PuLP, OR-Tools, or similar)
- Familiarity with DFS site formats (DraftKings/FanDuel) is a strong plus
- Ability to deliver a working, deployable web app (front end + backend), not just a script
- Clear communication and milestone-based delivery

Please include in your proposal: relevant past projects (optimization tools, sports betting/DFS tools, or similar), your suggested tech stack, and a rough timeline/cost estimate for a v1 NFL-only version.

Seeking a senior AI engineer to build Phase 1 of a hierarchical multi-agent brokerage OS. The system will be messaging-first, without voice capabilities. The role involves developing a LangGraph-based AI system to manage agent interactions and decision-making. The ideal candidate will have experience in AI system design and development, particularly with LangGraph and multi-agent systems.

Job Type & Collaboration
Type: Long-term, ongoing monthly contract (multi-year vision).

Schedule: Must be available for core collaboration hours daily within 6:00 AM – 4:00 PM EST (approximately 2–4 hours per day).

Compensation & Partnership Model
Monthly Retainer: $300 USD to start, with a defined path for substantial increases as system complexity and your responsibilities grow.

Profit Sharing: You will receive a share of the 50% net monthly profit pool, which is distributed across the 5-person engineering team.
Your specific role: You will be solely responsible for the Dograha instance, STT, TTS, and LLM stack. Your share of the profit pool will reflect the critical nature of this responsibility. This is a long-term, equity-like incentive directly tied to the value you create.

Note: All code, models, configurations, and intellectual property developed during this engagement remain the sole property of the company.

What We Already Have (You Are Not Starting from Zero)
We have already built and are running a real-time AI voice pipeline. We have shifted our architecture to use Dograha (an open-source Vapi alternative) as our foundation. Our system runs on a single machine with an NVIDIA RTX 5090 GPU.

Currently Running:

Dograha Core: The base framework is installed and operational.

STT & TTS: Integrated speech-to-text and text-to-speech models.

Pinecone: Vector database connected to our Fusion PBX for memory/context.

Custom Portal: A basic Vapi-style dashboard for managing voice agents.

Your Mission:
Take our existing Dograha instance and complete the migration to fully replicate Vapi's feature set (see below). You will optimize, scale, and maintain the platform to ensure it is a robust, self-hosted alternative to Vapi.

Required Features (We Need to Build / Complete)
We have upgraded to Dograha and are integrating additional services (STT, TTS, LLM). The goal is to replicate Vapi's functionality completely. Key modules we still need to configure and enhance include:

Module Details
Assistants Create, edit, delete voice assistants (Dograha native).
Squads Group multiple assistants/numbers for load balancing/IVR.
Tools Function calling and custom integrations via Dograha.
Phone Numbers Provision and manage inbound/outbound numbers (SIP trunking).
Logs Call recordings (listen back), transcripts of assistant + user dialogue.
Voice Library Manage TTS presets and custom voices.
Metrics Total call minutes, number of calls, costs, etc.
Integrations Configurable list of third-party integrations (CRM, etc.).
API Keys Generate and manage API keys for programmatic access.
If you are familiar with Vapi's UI/API and Dograha's architecture, you already know the target.

Technical Scope
Current Stack (Already Running)

Real-time AI voice pipeline (STT → LLM → TTS) on RTX 5090.

Dograha as the core automation framework.

Pinecone for memory/context.

Fusion PBX (SIP telephony).

Custom portal (Vapi-style dashboard).

Your Responsibilities (Sole Accountability for the AI Stack)

Migration & Enhancement: Upgrade the current Dograha installation to handle the missing modules (Assistants, Squads, Tools, Logs, Voice Library, Metrics, Integrations, API Keys).

Low-Latency Optimization: Use TensorRT, vLLM, or similar to optimize models for ultra-low latency.

System Integration: Ensure seamless interaction between Dograha, Pinecone, Fusion PBX, and the dashboard.

Self-Hosted Stability: Harden the system for production use (logging, alerting, backup).

Long-Term Scalability: Scale the system to multi-GPU or multi-node as we grow, and maintain uptime.

Team Collaboration: You will work alongside 4 other engineers who handle other parts of the platform (frontend, telephony infrastructure, devops, etc.). However, you have sole decision-making authority and accountability over the Dograha instance and all AI models (STT, TTS, LLM).

Required Technical Expertise (Must Demonstrate)
AI/ML Deployment: Proficient with PyTorch, TensorRT, vLLM, or llama.cpp. Experience fine-tuning ASR/LLM models is a plus.

Real-Time Voice Pipelines: Hands-on experience with STT (e.g., Whisper, Faster-Whisper) and TTS (e.g., Coqui, XTTS, or cloud alternatives).

Dograha & Vapi Experience: You must understand the architecture of Dograha and how it mimics Vapi's functionality. You know how to extend it.

Telephony Engineering: SIP protocols, integration with PBX systems (we use Fusion PBX). Familiarity with PJSIP or Asterisk is a big plus.

Backend & Dashboard: Ability to build/extend a web portal (we already have a base – you'll work on the API and frontend as needed).

Infrastructure: Linux, Docker, basic GPU optimization. A security-minded approach is required.

Why Join This Project?
You are not starting from scratch – the core pipeline and Dograha instance are already installed and running.

Direct profit sharing – You receive a share of the 50% net monthly profit pool, distributed across the 5-person team. As the engineer solely accountable for the Dograha/STT/TTS/LLM stack, your share reflects your central role.

High ownership (of responsibility), high impact – You are not a cog in the machine. You own the outcome and performance of the platform's brain.

Long-term, founding-level role – Shape the architecture and grow with the company.

Work on cutting-edge AI + telephony – Real-time voice agents are the future of customer interaction.

How to Apply
Send a brief message explaining:

Your experience with real-time STT/TTS pipelines and low-latency LLM serving.

Your familiarity with Dograha and/or Vapi (or similar voice agent platforms).

Any work you've done with SIP / PBX integration.

Your availability during the core hours (6 AM – 4 PM EST).

Please note: You will be joining a team of 5 engineers total. While the 50% profit share is split across the team, you will have sole accountability and responsibility over the Dograha instance, the AI models (STT/TTS/LLM), and voice management. All intellectual property developed remains company property. This is a high-impact, high-accountability role within a collaborative environment.

• 1. Describe 3 projects where you built STT, TTS, or LLM platforms. What was your role and the hardest technical challenge?
• 2. What was your biggest challenge integrating PJSIP/Asterisk with a voice app, and how did you fix latency or stability issues?
• 3. For low-latency AI on an RTX 5090, when would you choose vLLM over llama.cpp? What is the key trade-off?
• 4. List the top 3 security measures you would implement immediately for a Proxmox host exposed to the internet for SIP calls.
• 5. How would you design and document the system from day one to ensure it remains maintainable and scalable for years?

Antigravity is already installed and my Ollama daemon is serving four-five local LLMs flawlessly. Antigravity’s agents talk to those models entirely offline.

We will hop on AnyDesk or Zoom—my preferred interface for this job—and you’ll:

• Point Antigravity to the localhost endpoints exposed by Ollama
• Verify bidirectional communication with at least one sample prompt/response per model
• Leave me with the edited config files or environment variables and a quick note of the steps taken

No other integrations are required—just Antigravity ↔ Ollama. Once we can pull responses from the local models without touching the cloud, the task is complete.

Skills: Machine Learning (ML), Artificial Intelligence, API, Local Area Networking, API Development, API Integration, AI Model Integration, AI Development, Ollama

The product:

We're building an AI-powered exam prep platform for a professional licensing exam (trade/certification space). It replaces static question banks with a diagnostic-first, adaptive system: students take a diagnostic, get routed to a personalized study path, and work through a multi-agent tutoring system until they hit a measured "ready" threshold.


This is a live commercial product with a defined architecture already specced out — you're not starting from a blank whiteboard, but you are doing the real build.

Why this is phased, not a single sprint
The full scope below is substantial — a knowledge base pipeline, a multi-agent tutoring engine, payments, CRM integration, and QA automation is a multi-month build done properly, regardless of how much AI-assisted coding speeds up implementation. We're hiring for Phase 1 (MVP) with the expectation of continuing into Phase 2 if it's a good fit. We're not looking for someone to rush the whole list at once — we're looking for someone who ships a working core fast and doesn't cut corners on the parts that are hard to fix later (data architecture, cost control, security).


Phase 1 — MVP scope:
1. Knowledge base pipeline: ingest source material and generate an abstraction layer (not direct rephrasing) that downstream content generation draws from — plus a way to add new source content over time without a rebuild.
2. Diagnostic engine: assembles a scored diagnostic, classifies per-topic strength/weakness, and routes the student to a tier/path.
3. Multi-agent tutoring system: several narrow, purpose-built AI agents (not one general chatbot) — e.g., a structured-topic tutor, an adaptive practice/reinforcement agent, and a live Q&A tutor. Prior experience with multi-agent orchestration and RAG is required, not just "calling an LLM API."
4. User accounts + payment: signup/auth, Stripe integration, tier/access gating.
5. Core UX/UI: functional, clean, mobile-friendly — polish comes later, usability doesn't.
6. Token/cost optimization: pre-generate and cache wherever quality allows; reserve live model calls for the moments that actually need them. You should be able to speak concretely to how you'd control inference cost at scale, not just "use a cheaper model."
Phase 2 (future scope, not this contract)
CRM integration (GoHighLevel), AI-assisted QA/QC tooling, documentation, and ongoing maintenance/feature expansion. We'll discuss this once Phase 1 ships and we've seen how we work together — we are not committing to this scope or a retainer in this posting.


Must-have experience:
• Shipped production systems using LLM APIs (Anthropic or OpenAI) — specifically multi-agent or multi-step orchestration, not single-prompt chatbots
• RAG / knowledge base architecture
• Stripe integration
• Comfortable working from a written spec and flagging gaps or risks in it, not just building literally what's written
• Can talk specifically about how you'd control LLM inference cost at scale
Nice to have
• Experience with Lovable or replit, or willingness to work in it
• GoHighLevel API experience
• EdTech or assessment/diagnostic-scoring background


To apply, include:
• 2–3 examples of relevant work (ideally something with LLM agents or RAG in production, not just a demo)
• Your fixed price or rate for Phase 1 specifically, based on the scope above
• Realistic timeline estimate for Phase 1
• One thing in the spec above you'd push back on or do differently, and why

• how many years of experience do you have as a full stack developer (before AI coding)?
• how many project that involve agentic AI products have you completed? share examples

Looking for a developer to help create an always-on agentic AI market intelligence system.
The system will continuously monitor defined companies, industries, topics and public information sources; identify meaningful events and changes; evaluate their relevance; organize the findings; and notify users when actionable opportunities emerge.

This is not a chatbot or basic AI content-generation project. The system must operate independently on scheduled and event-driven workflows, use multiple tools and data sources, maintain context, make decisions based on defined rules, and escalate important findings to a person.

Responsibilities
• Build always-on AI agents that continuously monitor defined markets and information sources.
• Enable agents to research, evaluate and connect information across multiple sources.
• Develop configurable rules for identifying relevant signals, events and opportunities.
• Create scoring logic that determines which findings require attention.
• Maintain historical context so the system can recognize meaningful changes over time.
• Generate concise intelligence reports, alerts and recommended next actions.
• Ensure every finding includes traceable source information.
• Create human-review controls before the system takes sensitive or external actions.
• Build a simple interface for configuring monitoring criteria and reviewing results.
• Implement scheduling, background processing, error handling, logging and system monitoring.
• Create reusable architecture that can be configured for different companies and markets.
• Document the system so it can be maintained and expanded.

Required Experience
• Strong Python or JavaScript/TypeScript development experience.
• Experience building agentic AI systems that run continuously without requiring individual prompts.
• Experience with OpenAI, Anthropic or similar AI platforms.
• Experience with tool calling, multi-step workflows and persistent agent memory.
• Experience collecting and processing information from APIs and approved public sources.
• Experience with databases, scheduled jobs, queues and cloud deployment.
• Ability to build reliable production systems—not just prototypes, chatbots or prompt-based demonstrations.

Initial Project
Develop a working proof of concept that can:
• Continuously monitor a defined market or group of companies.
• Detect selected events, changes and emerging signals.
• Compare new information with historical information.
• Determine relevance using configurable criteria.
• Rank findings by importance or opportunity.
• Generate a concise intelligence summary.
• Cite the source behind every finding.
• Alert a user when meaningful activity is detected.
• Continue operating automatically without daily prompting.

This will begin as a project-based or fractional engagement, with the potential for continued development as the platform expands.

Candidates should provide examples of always-on agents or autonomous monitoring systems they have personally built, the technologies used, their specific role, availability and hourly rate.

Senior AI Engineer / Full-Stack Developer Required – AI SaaS Platform

We are seeking an experienced AI engineer or full-stack developer to design and build a scalable, enterprise-grade SaaS platform that combines AI automation, CRM, communication tools, and business workflow management.

This is a long-term retained engagement rather than a one-off development project. We are looking for a technical partner who can help architect the platform, recommend the most suitable technology stack, and continue developing and enhancing the product over time.

Core Requirements

The platform will include AI-powered features such as:

* AI sales and workflow automation
* CRM and customer management
* AI-generated emails and follow-up sequences
* Call transcription, summaries and task generation
* AI-powered sales assistance
* Website generation from user prompts
* Business content generation
* Reporting and analytics
* Role-based user management
* API-first, multi-tenant SaaS architecture

The platform should also be designed to support future integrations with telephony providers, CRM platforms, payment gateways and other third-party services.

Technical Skills Required

We’re looking for someone with proven experience in:

* AI/LLM application development
* AI agents and workflow automation
* Modern frontend and backend development
* Cloud-native SaaS architecture
* API development
* Database design
* Security and authentication
* Scalable infrastructure

Experience with speech AI, voice processing, CRM systems or workflow automation would be an advantage.

To Be Considered, Please Include

* Examples of similar AI or SaaS platforms you have built
* Your recommended technology stack
* Suggested architecture
* Estimated timeline
* Approximate budget
* Ongoing support and maintenance options

We are looking for a long-term technical partner with strong architectural experience who can help build and evolve this platform. An NDA will be required before detailed specifications are shared.

Skills: Website Design, Cloud Computing, Full Stack Development, API Development, AI Text-to-speech, AI Text-to-text, AI Chatbot Development, AI Model Development, AI Model Integration, AI Development

Environment Setup & Initial Validation
• Set up Kyutai/moss Streaming TTS development environment
• Verify the official streaming/progressive TTS model runs locally
• Confirm GPU compatibility and benchmark VRAM usage
Progressive Text Streaming
• Implement true progressive text input (or true progressive word chunking)
• Accept incoming text while speech generation is active
• Maintain natural speech across appended text
• Demonstrate continuous speech from streamed LLM output
- begin tts on first sentence chunk from llm

We are seeking an expert in Claude AI to assist with integrating and optimizing AI models. The ideal candidate will have experience in AI model development and a strong understanding of AI technologies. Responsibilities include developing and testing AI models, collaborating with our team to enhance AI capabilities, and providing insights on AI integration strategies. If you have a passion for AI and a proven track record in this field, we would love to hear from you.

Hello, I am the founder of a startup with an existing mobile application and full source code. The application was originally developed several years ago and now needs an experienced engineer to evaluate its current state.

This is NOT a request to immediately rebuild the application.

The first phase is a technical audit of the existing codebase to determine whether the application should be:

* Refactored
* Partially rebuilt
* Completely rebuilt

The selected developer should have experience working with legacy codebases, startup applications, mobile development, and scalable software architecture.

Initial Deliverables

* Review the existing codebase
* Successfully set up and run the project
* Evaluate code quality and maintainability
* Identify technical debt
* Review security and performance
* Determine what components can be reused
* Recommend Refactor vs. Rebuild (with reasoning)
* Provide a phased development roadmap
* Estimate cost and timeline for future development

Required Skills

* Full Stack Development
* React Native (or similar mobile frameworks)
* Node.js
* JavaScript / TypeScript
* REST APIs
* Database Architecture
* Git / GitHub
* Code Refactoring
* Mobile App Architecture

Bonus Experience

* Startup products
* AI integrations
* Marketplace platforms
* Subscription applications
* AWS or cloud infrastructure
* Experience modernizing older applications

**Important**
The initial engagement is intended to be a paid technical audit (approximately 8–10 hours).

If the audit goes well, I intend to continue working with the selected developer on a long-term basis to modernize and expand the platform.

Please begin your proposal by answering these four questions:

1. How many existing applications have you audited and modernized?
2. Have you ever recommended rebuilding instead of refactoring? Why?
3. What would your process be for evaluating an existing codebase?
4. Please share examples of similar projects you’ve completed.

I value honesty, communication, and long-term collaboration more than simply finding the lowest hourly rate.

To confirm you’ve read this entire posting, please include the phrase “Blue Horizon” at the beginning of your proposal. Thank you.

We are looking for an integrated solution that would take:

1. Sales order information, item, quantity, customer, logo in remarks
2. Customer Logo from past jobs or provided in email or email link.

Generate:
1. A proof with the customer's logo on our product.
2. Email the proof to the customer.
3. Follow up on the proof.
4. Generate a production file that has the logo in a specific space repeated for the quantity.

Assistance with current AI receptionist based on the Gold Coast

I'm seeking a frontend-focused engineer (or strong full-stack engineer) to help build MAIVOX, an AI inference and intelligent routing platform. The platform connects developers and businesses to multiple AI models through a unified API, with a focus on realtime dashboards, analytics, API management, and developer tools.

The role involves building modern React/Next.js interfaces, integrating backend APIs, and creating a production-ready SaaS experience. Experience with AI APIs, inference platforms, routing, or developer-focused products is a strong plus.

This is a part-time contract for an evolving startup, with work assigned one project at a time and opportunities for ongoing collaboration as the platform grows.

• Describe your recent experience with similar projects
• Please list any certifications related to this project
• How do you deal with outliers or missing values in a dataset?

Domain connect and credit repair site launch. Very quick and easy working with my assistant

Looking for an ML engineer to develop and implement a Model for real-time blood pressure (BP) estimation using heart rate photoplethysmograph (PPG) signals which will be deployed on an MCU for non-invasive health monitoring.

Responsibilities:
• Design and implement a robust algorithm for extracting BP values from raw or pre-processed PPG data (depending on the provided format).
• Utilise machine learning or neural network techniques to achieve accurate BP estimation.
• Optimise the algorithm for real-time performance on Nordic chipsets in an embedded C environment (or provide an embedded C based implementation of the model)
• Integrate the algorithm seamlessly with existing hardware and software platforms (will be done by our engineers)
• Conduct extensive testing and validation of the algorithm's accuracy and performance under various conditions. (will be done by our engineers)
• Document the algorithm design, implementation, and testing process clearly and concisely.


Ideal candidate:
• Strong foundation in Python, C, C++
• Solid understanding of signal processing and machine learning/neural network techniques.
• Experience with real-time data processing and embedded system optimization.
• Familiarity with physiological signals, particularly PPG and blood pressure dynamics, is a plus.
• Excellent analytical and problem-solving skills with a meticulous approach to detail.
• Strong communication and documentation skills.


References:
(link removed)

I need to set up an API connector to self host with Claude for Librechat.

I already have the full backend, data models, and AI routines in place; what I’m missing is a polished Bubble.io frontend that speaks seamlessly to that engine. The interface must serve two distinct experiences—one for people submitting their information and another for administrators who need a robust dashboard to review, triage, and finalize those submissions.

I’m aiming for a corporate-grade, professional look: clean typography, restrained color palette, intuitive layouts, and responsive behaviour on desktop, tablet, and mobile. Every page should pull live data from the existing Bubble workflows and give real-time feedback where the AI is involved (e.g., displaying classification results or status updates without a reload).

Deliverables
• Fully responsive Bubble.io pages for user intake, status tracking, and admin dashboards
• Role-based navigation and permissions wired to my current data types and privacy rules
• Connected forms, repeating groups, and charts that read/write through existing backend workflows (no new server logic required)
• Handoff with a short Loom walk-through plus editor access so I can maintain and extend the app

Acceptance
I’ll consider the job done when both roles can log in, complete their core tasks end-to-end, and the UI meets the corporate styling noted above without breaking on any viewport above 320 px.

When you apply, please point me to past Bubble or no-code frontends you’ve shipped that mirror this level of complexity.

Skills: UI / User Interface, Web Development, Frontend Development, Web Design, AI Chatbot, AI Content Creation, AI Model Integration, AI Development

***INTRO***
I have been running an online vectorization service for around 10 years. During that time, I have accumulated gigabytes of training data. Basically, I have low-quality raster input images paired with high-quality, manually vectorized outputs. Someone mentioned that this kind of dataset could be very valuable for machine learning. This could help create a high-quality vectorization app that would sell very well.

***APP DEVELOPMENT***
I’m not sure if AI can build a vectorization app from scratch, but there are some decent free open-source vectorization apps available (POTRACE, VTRACER). AI could take them to the next level, significantly increasing the value of software like that.

I'm not sure if AI machine learning can be incorporated into existing apps.

***AI MODEL***
I still do vectorization, so the AI model could continue learning from me.

***MARKETING***
1. I have an email database of thousands of people and companies that have previously been interested in vectorization (A lot of them were/are paying customers)
2. I also do SEO and internet marketing, and I'm ready to invest in paid advertising.

***COOPERATION***
I am considering two pricing models. Let me know in your message which one would work best for you.

1. Either I would pay for the entire app development.
2. Or we could share the profits from future sales. The code of the developed app would stay on your server, and I would pay a monthly fee for API usage. Even in this case, I could pay an upfront bonus. I think it is a good investment because it can generate income without requiring to work.

***INFORMATION I WOULD LIKE TO GET***
1. How would you handle this project? What approach would you take regarding the coding and AI/machine learning aspects?
2. Which payment model are you interested in?
3. How quickly could you create a usable vectorization app?
4. If you would like to choose the API option, what type of server do you have, and would you be able to run it efficiently 24/7 without long processing times?

I'm looking for an experienced full stack dev to build an AI portrait site integrated with Shopify. Core features include photo upload, style selection, AI image generation via existing APIs, Shopify checkout, digital delivery. Please share similar projects, AI APIs you've used, recommended stack, timeline, and fixed price. Bonus if you've done Shopify apps or AI image generation before. Strong candidates will have built something similar and can show it. Here is the site Im replicating: https://fable.surrealium.world

We're a global brand looking for a developer to build an internal AI agent that turns our pile of contracts into one searchable knowledge base our team can actually ask questions of.
Right now the process is all manual and has too many steps. Someone opens each contract, reads it, pulls out the key terms by hand, and files it away. When a question comes up later, we're back to opening files one by one to find the answer. It's slow, it's expensive at our scale, and it means nobody really has a clear picture across everything we've signed.
We want an AI agent that reads every contract for us and builds a knowledge base we can search two ways.
The first is by meaning, so someone can ask "which of our vendor agreements auto-renew in the next 90 days" and get the right contracts back.
The second is the part that matters most to us, and the part most tools skip: we want to count and add things up across the whole collection. So a question like "how many of our contracts mention alcoholism" or "how many times does an indemnity clause show up" should give us a real number, not just a list of documents to go read. We want to ask a question of the whole library at once and get an actual answer.
What the agent needs to do
Read every contract and pull out the key details: parties, dates, payment terms, renewal clauses, obligations, and specific terms or topics we care about
Let us search by meaning and get the right contracts back
Let us count and total things across all contracts, so "how many times did X come up" returns a number we can trust
Write a clear plain-English summary of any long agreement
Keep everything in one place the whole team can reach
Handle PDFs, scanned documents, and Word files without us reformatting anything first
Who we're looking for
Someone who has built AI document tools before and can show us real examples, especially anything where people could ask questions across a large set of documents and get answers back. We're a non-technical team, so we want a partner who explains the choices in plain words and hands us something our people can use on day one without a manual.
It's a plus if you've worked with larger organizations and understand that we want something practical and dependable that fits how our team already works.
Tech we're open to
We trust your judgment on the stack. We know tools like Anthropic's Claude API and OpenAI are common for this kind of work, along with OCR tools like AWS Textract or Google Document AI for reading scanned files, and vector databases for the meaning-based search. For the counting side we'd expect some structured storage behind it, but we'll leave the exact approach to you. Tell us what you'd recommend and why it fits a job this size.

About the product
We build a B2B platform for contractors that manages the full material lifecycle: vendor quoting, purchase orders, receiving, invoicing, job costing, and warehouse operations. It's a real product with paying customers, live in production, and shipping constantly.

What you'll work on

Web app: A Meteor.js + React 18 application (MongoDB Atlas, Bootstrap 5, real-time pub/sub data) — building new pages and features across quoting, orders, receiving, and reporting workflows.

Cloud services: Node.js / Express microservices on Google Cloud Run, driven by Pub/Sub events — background jobs, email pipelines (SendGrid), PDF generation and parsing, and vendor/EDI integrations.

AI features: We use the AI APIs for document intelligence — parsing vendor quote and invoice PDFs, matching line items to catalogs, and automating data entry. You'll extend and refine these pipelines.

Day-to-day work looks like

Taking a feature from rough spec to production: schema, Meteor methods/publications, React UI, tests, deploy.

Debugging real-world data issues (messy vendor PDFs, EDI feeds, sync edge cases).

Writing and maintaining tests (Jest unit tests, Meteor method tests, e2e smoke tests) — we run tests before every deploy.

Working directly with the our small team;
high ownership, fast feedback from actual users.

Must-have skills

Strong JavaScript (ES6+) and React — most of the codebase is JS/JSX.
Node.js backend experience and comfort with MongoDB (queries, aggregations, schema design).
Git-based workflow and the discipline to test before deploying.

Nice to have

Meteor.js (or willingness to learn it quickly — it's central to our stack).
Google Cloud (Cloud Run, Pub/Sub, Cloud Storage, Secret Manager).
Experience with LLM APIs (prompting, structured extraction, evaluation).
Familiarity with construction, distribution, or supply-chain domains is a plus but definitely not required.
What we value Pragmatic engineers who ship, solve problems, think through unforeseen issues, and try build right the first time. You'll rarely be blocked by process — you'll be trusted to understand a workflow our contractors use, build it well, and get it into their hands.

I own World Class Environmental, a pest control company serving Palm Beach County, Florida. My current website is built with GoDaddy Website Builder at pest-freeworld.com, and I’m considering moving it to WordPress.

I’m not looking to simply copy the existing website. I want a modern, mobile-friendly lead-generation site that is built to grow over time. The initial website would include a homepage, about page, contact page, service pages, service-area pages, blog, quote-request form, Google Reviews integration, and clear call-now/request-quote buttons.

I also want the site structured so we can easily add more service pages, city pages, pest-specific pages, landing pages, and blog posts later without redesigning the website. I plan to provide most of the written content and page outlines, so your focus would mainly be WordPress setup, design, layout, speed, SEO structure, forms, and functionality.

I would prefer WordPress with a user-friendly builder such as Elementor, along with Rank Math or another reputable SEO plugin. The site should also be compatible with future automation through tools such as Make.com, social-media scheduling, and CRM integrations.

Could you please provide:

1.A fixed-price estimate and estimated timeline
What hosting and premium plugins you recommend

2.Examples of local service or lead-generation websites you have built

3.What is included in the price, including revisions

4.Whether you can build the new site on a staging URL while my current GoDaddy site remains live

5.Whether you can migrate the domain safely without interrupting my business email

Thank you.

We are seeking an IT Projects Bidder to identify and secure projects related to various technologies such as CRMs, CMSs, Frameworks, and AI. The ideal candidate will have experience in IT project bidding and management, with a strong understanding of the latest technologies. Responsibilities include researching potential projects, evaluating project requirements, and submitting competitive bids. The role requires an intermediate level of proficiency and offers a part-time engagement for 1 to 3 months. With your base pay you would also get a chance to earn commisions based on the projects you bring within the organization.

• Did you ever work like this? If yes, share you exp.

We are looking for an experienced Full Stack Developer with strong backend architecture skills and hands-on experience integrating AI capabilities into production SaaS applications.

Our platform is already live and actively used by customers. The frontend, backend, authentication, database, dashboards, and core infrastructure are already built. We are not looking to build a new application from scratch.

The primary goal is to develop and integrate AI-powered automation features into our existing platform while maintaining clean architecture, scalability, and performance.

You will work closely with our engineering team to design and implement production-ready AI workflows that integrate seamlessly with our existing backend services.

We prefer to implement this with less budget.

• Which AI APIs have you used in production?
• Have you implemented AI Agents, tool calling, or function calling? Please explain.
• What is your experience with Node.js, Next.js, and TypeScript?

We are looking for an AI Voice Receptionist/Agent developer to build an intelligent voice assistant for our existing product. The AI should be able to handle customer inquiries, answer questions about our services using information from our website, and provide a professional customer experience.

If this project is successful, we are looking for a long-term partner to continuously enhance our product with new AI features, automations, and integrations.

Long-term fractional opportunity (approximately 5–10 hours per week) with a flexible schedule. U.S.-based candidates only.
We're looking for an exceptional engineering leader who enjoys building trusted relationships, solving complex business challenges, and guiding organizations toward better technology decisions.
This is not a traditional software engineering role or a management consulting position.
Your role is to build trusted relationships, understand complex business challenges, apply sound engineering judgment, and guide prospective clients toward successful engineering engagements.

WHAT YOU'LL DO

• Help identify and develop new engineering opportunities.
• Build trusted relationships with prospective clients.
• Lead technical discovery and solution discussions.
• Recommend practical engineering strategies and solutions for complex business challenges.

REQUIRED QUALIFICATIONS

• You currently serve-or have recently served-in a senior technical leadership role, such as Principal Engineer, CTO, VP Engineering, Distinguished Engineer, Staff Engineer, or an equivalent position.
• You have relatively recent hands-on engineering experience and a strong understanding of modern software engineering, AI, cloud, data, systems architecture, or related technologies.
• You have deep engineering expertise demonstrated through designing, building, or delivering complex software, AI, cloud, data, infrastructure, or distributed systems.
• You have strong scientific foundations and/or meaningful industry domain knowledge.
• You can translate complex business challenges into practical engineering strategies and solutions, supported by strong systems thinking and solution architecture skills.
• You hold a Bachelor's degree or higher in Engineering, Computer Science, Mathematics, Physics, or another relevant technical discipline.
• You communicate at a native or bilingual English level, both verbally and in writing.

NICE TO HAVE

• Master's or Ph.D. in Engineering, Computer Science, Mathematics, Physics, or another relevant technical discipline.
• Professional certifications in engineering, AI, cloud, security, architecture, or related disciplines.
• Publications, patents, conference presentations, technical talks, or other recognized technical achievements.
• Open-source contributions.
• University teaching, lecturing, mentoring, or research experience.
• Active membership or regular participation in professional engineering or scientific organizations.

ABOUT US

We're a remote-first, globally distributed engineering company that helps organizations solve complex business and technology challenges through software engineering, AI, cloud infrastructure, data platforms, automation, and modern system architecture.
As we expand our presence in the U.S. market, we're building long-term relationships with exceptional engineering leaders who enjoy solving meaningful business problems through technology.

HOW TO APPLY

A traditional cover letter isn't necessary. We'd rather learn about your engineering expertise and communication style directly.
Instead, please:
• Attach a 60–90 second video introducing yourself.
• Answer the screening questions below.
Applications without a video introduction will not be considered.

• 1. Briefly describe your most recent hands-on engineering work.
• 2. Please describe your strongest scientific foundation and/or industry domain expertise.
• 3. Do you regularly read scientific papers, engineering articles, technical magazines, or journals? If so, what do you follow most regularly?
• 4. Please provide any applicable profiles (GitHub, or any other alternatives), portfolio, personal website, or other evidence of your technical credibility, such as certifications, publications, patents, technical talks, or open-source contributions.

Project Description Bullet Points
Project Overview: Develop an AI-driven management and reservation system for EV battery swapping stations. The system will enable users to monitor battery health (State of Charge/State of Health), locate available stations, and reserve battery slots in real-time.

Core Functionality:

User Interface: Create a dashboard/mobile app for users to track battery status, view station availability via GPS, and manage reservations.

IoT & Hardware Integration: Interface microcontrollers (e.g., ESP32/Arduino/Raspberry Pi) with sensors (voltage, current, temperature) to transmit real-time data to a cloud server.

AI/Predictive Analytics: Implement AI models to optimize charging strategies, predict battery health, and forecast station demand.

Backend & Cloud: Establish cloud connectivity for remote monitoring, billing, and inventory management of charged battery packs.

Technical Requirements:

Tech Stack: Experience with IoT protocols (MQTT/HTTP), cloud platforms (AWS/Firebase), and mobile/web development frameworks.

Hardware Knowledge: Proficiency in interfacing sensors and microcontrollers with battery management systems (BMS).

Security & Safety: Implement robust safety protocols for battery monitoring and secure communication between the vehicle, station, and cloud.

Deliverables:

Source code for the mobile/web dashboard and firmware for the IoT modules.

Documentation of the system architecture, hardware schematics, and AI model integration.

Testing/validation reports for system reliability and battery safety metrics.

Skills: Website Design, Wireless, Mobile App Development, Cloud Computing, Bluetooth Low Energy (BLE), Embedded Systems, AI Text-to-speech, AI Model Development, AI Development