AI Model Integration for Upwork Projects

We are building a web platform that turns written or spoken input into audio announcements and plays them back through hardware installed at physical locations. It combines AI speech services with a fleet of small embedded Linux devices that receive commands from the platform and drive the on-site hardware.

The scope of this role is the web platform: frontend, backend, data model and AI integration. The software running on the embedded devices is written in Go and developed in-house. You will design and implement the interfaces the platform exposes to it, so a working understanding of how such devices behave is useful.

We're looking for a true Claude Code expert to partner with our company long-term. You should have deep, hands-on mastery of Claude Code — skills, plugins, subagents, MCP integrations, and advanced workflow automation — beyond what most practitioners know.

Your role will be to teach and mentor our team, helping us build real fluency in Claude Code's full capabilities, while also advising on best practices for implementing it in production. We're not looking for a one-off gig — this is for someone who wants to become a genuine long-term partner as we scale our use of AI tooling.

What we need from you:

Deep expertise across Claude Code skills, plugins, and configuration
Ability to teach and explain concepts clearly, not just execute
Proven track record — please include proof of work: case studies, examples of Claude Code projects/automations you've built, and relevant previous job experience
Strong communication skills, since transferring knowledge to our team is central to this role

If you're someone who lives and breathes Claude Code and wants to help shape how a company adopts it from the ground up, we'd love to hear from you.

work with ai and build the product. we provide the ai tools api

We are looking to replace our systems of Excel and monday.com with an AI-driven platform that will allow us to automate most of our workflows.

We currently have a new quotation platform built but we are now trying to take our reliance away from monday.com and replace it with an AI-driven system.

Before we build the full system, we really want to make sure that we are building our AI system on the right platform but we have very limited experience with AI ourselves.

We are looking for somebody who can guide us in the right direction, tell us which platform to use, help us with issues we are having when implementing, and act as a consultant/implementer on certain aspects.

This will be a mixture of consultation and implementation.

We are looking for a Backend Developer to help build ARCK’s nonprofit learning and community platform—connecting young people, educators, mentors, and community partners through creativity, mentorship, and real-world pathways.

The developer will help design and build the platform’s core infrastructure, including APIs, databases, authentication and user roles, student profiles and portfolios, mentor matching, program enrollment, progress tracking, curriculum/content management, and administrative dashboards. The role will also support future integration of AI-powered coaching and personalized learning tools, while ensuring strong security, privacy, scalability, and responsible handling of youth data.

We are seeking an AI Automation Specialist to develop and implement AI solutions for businesses. The role involves building and implementing AI automations, reactivation campaigning, website creation, etc. The ideal candidate will have experience in AI development and an understanding of business processes.

Looking for a claude AI expert to map out and develop AI agents for marketing. Someone who has done it before and replaced team members with it
Someone who can map out end to end journey with AI agents and build it and train it. These agents include but not limited to, research, production of social media post across the different platforms, copywriting, monitoring and feedback loop. Someone who can advise on how to implement AI into the organisation

Immediate start
Please provide sample of previous work

Early-stage AI SaaS startup in the professional learning space.
Small distributed team, shipping fast. We need a hands-on
Fractional CTO to own technology end to end, working directly
with the founder.

What the role covers:

- Technology strategy — architecture decisions, build-vs-buy,
technical direction as the product scales
- LLM pipeline architecture (Google Gemini, Vertex AI): prompt
design, output evaluation, reliability, API cost control
- AI integration across the product, including our internal
data-mapping and content-sourcing pipelines
- Google Cloud Platform infrastructure: Docker,
PostgreSQL/Supabase, CI/CD, security
- Engineering leadership: code review, release management,
technical hiring as the team grows
- QA strategy and test automation (Playwright, end-to-end
testing) so quality holds while we ship fast

Ongoing, long-term engagement.

Project Summary:

We are looking for a resourceful AI & automation developer to build a smart WhatsApp virtual assistant for a medical clinic. The assistant will guide patients through care processes and rights using strictly provided documentation.

Full technical architecture, API credentials, and documentation will be provided to the selected developer upon hire.

Key Requirements:

WhatsApp Interface: Interactive assistant accessible via WhatsApp with smooth flow logic.

Grounded AI (Zero Hallucination): Responses must rely strictly on provided clinic documents—no web searches or invented details.

Auto-Detection: Seamlessly handle multiple language queries based on user input.

Smart Escalation & Logging: Automatically detect out-of-scope questions, trigger an empathetic follow-up reply, and log patient details for staff.

Admin Friendly: Easy way for non-technical staff to add or update clinic documents.

Preferred Tool & Tech Familiarity:

Familiarity or experience with any of the following is a plus:

Automation Engines: n8n workflows

WhatsApp APIs: 360dialog / Twilio

Vector Databases: Qdrant, ChromaDB

Database & CRM: Airtable

LLM Models: OpenAI, Claude, Google Gemini

I want to hire good J2EE full stack dev who knows AI too like Gemini or Co pilot and it will be full time remote job who can work from home only but there will be the 2 level of interview its a long term job please serious guyscan apply.

We have a US-based Business Consulting firm expanding our services into AI solutions and automation.

We are looking for experienced AI freelancers to work with us as subcontractors through Upwork on ongoing client projects. We will focus on bringing clients and business opportunities, while you support us with technical solutions and implementation.

We are interested in learning about your experience working with different AI-based solutions, such as:

AI Agents & Workflow Automation
AI Chatbots
Generative AI & OpenAI integrations
n8n, Make & Zapier automation
Microsoft Copilot & Microsoft 365 AI
CRM, Sales & Customer Service Automation
AI Voice Agents
RAG / AI Knowledge Bases
Custom AI Applications
Other high-demand AI business solutions etc.

When applying, please tell us:

Your top 3 AI services and strongest technical skills
Examples, demos, or portfolio work you are authorized to share. Your experience and typical project pricing.
How you can help us prepare demos, technical proposals, and portfolio materials for potential clients

We are looking for highly skilled and reliable professionals interested in a long-term partnership. All projects and payments will be handled through Upwork.

If you have strong AI expertise and can demonstrate real solutions you have built, we would like to hear from you.

We are looking for an experienced AI automation / AI solutions expert to help us improve and automate a similar document production workflow, and it should work across industries. We would require customization for 2 businesses/industries.

If this works, we are expecting at least dozens more clients who would require this and we are looking to work with someone long-term (the financial compensation would increase a lot more as wel, this project can be seen as a trial for us to try multiple vendors.)

Use Case 1 – Education Company

The company regularly creates detailed educational materials such as:

20–30 page curriculum documents
Worksheets
Lesson plans
Teaching materials

Much of this is currently produced by offshore staff.

The cost is manageable, but the process requires a lot of QC and staff management, and the quality is often inconsistent.

Use Case 2 – Consulting Firm

The consulting firm regularly produces detailed client deliverables, including reports that can reach 100–200+ pages.

These involve research, writing, analysis, compilation, formatting and review.

A significant amount of production is currently handled by junior/offshore staff, with senior consultants spending substantial time reviewing and correcting the work.

What We Want

We want to explore how AI can significantly improve this process by:

Reducing manual production work
Improving document quality and consistency
Reducing QC requirements
Reducing reliance on junior/offshore manpower
Producing documents faster
Making better use of the company's existing knowledge, templates, methodologies and previous work

We are open to how this should be built. Please let us know.

We are not looking for someone to simply connect ChatGPT to a few documents. We want a practical system that can materially improve an existing production workflow.

IMPORTANT – What to Send With Your Application

Please keep your application short.

1. Show us relevant work

Please send actual examples of WORKING systems you have already built that are relevant to this problem. Not theory, not mindmaps, not google docs, but actual demo.

Ideally:

Loom/video demos
Live demos
Previous project walkthroughs
Examples of AI-generated long-form documents
Automated research/report generation
AI QC/review systems
Similar education, consulting or knowledge-work applications

The closer the example is to our use case, the better.

Please do not send generic AI chatbots, voice agents or unrelated automation projects.

2. Show us how you would solve THIS

Give us a practical idea of how you would approach one or both of the use cases above.

Even better, if you have an existing system that could be adapted to this, show us the system rather than explaining it theoretically.

We have real source material, existing documents and examples that can be provided for testing.

Our preference is to start with a small proof of concept and evaluate the quality of the output before expanding the system.

Best Fit

We are especially interested in freelancers or teams who have already built solutions involving:

Long-form AI document generation
Good design output
AI report generation
Curriculum/content generation
Automated research and synthesis
Document QC / review
RAG / company knowledge systems
Complex multi-step AI workflows
Word / Google Docs / PDF document automation

Relevant previous work is much more important to us than a long written proposal. Applications without a clear demo will be ignored. Sorry about that, there're just too many applications!

Comprehensive technical SEO audit of immomarbel.com and immotropical.com, covering crawl accessibility, URL and sitemap structure, indexation, and page performance, delivered as a written report with prioritized findings and recommendations. Scope also includes development of two new site features: an admin-configurable default location-ordering view for the property listing pages, and an admin-curated featured-properties module for the homepage, to be implemented across both sites upon client approval.

We want to add a small AI-powered feature to an existing web application.

A user should be able to enter text, submit it, and receive an AI-generated response through the application.

We need a developer who understands both web development and secure LLM API integration.

Work Required
Integrate OpenAI API
Create backend endpoint for AI requests
Connect frontend input to the backend
Display generated responses
Add loading state
Handle API errors
Keep API credentials server-side
Validate user input
Test the complete request/response flow
Required Skills
OpenAI API
AI Integration
Node.js
JavaScript / TypeScript
Next.js or React
REST API
API Integration
Deliverable

One working AI-powered feature integrated into the existing application.

I’m looking for an expert who can provide practical, ow can teach me

🔹 Spec-Driven Development (SDD), GitHub Spec Kit
🔹 Model Context Protocol (MCP) servers
🔹 AI Agent Skills

I already have programming experience with Java, C, C++, JavaScript, and several other technologies. I’m now looking to understand these topics in depth

We are looking for an experienced OCR / Document AI specialist to improve an existing document-processing system.

The system is already developed and operational. The main task is to significantly improve OCR accuracy, structured data extraction, and processing speed, particularly for Hebrew and mixed Hebrew/English business documents.

The documents contain structured information such as:

* Tables
* Item descriptions
* Product/item codes
* Quantities
* Prices
* Document numbers and dates

The specialist will work with an existing developer who will provide access to the current OCR pipeline and assist with integration.

We are specifically looking for someone with proven experience in:

* Hebrew OCR
* RTL documents
* Table extraction
* PDF/image preprocessing
* Structured data extraction
* OCR post-processing and validation
* Improving OCR performance and processing speed
* Document AI / Vision models

Experience with tools/services such as Google Document AI, Azure AI Document Intelligence, AWS Textract, PaddleOCR, Tesseract, OCR/vision models, or similar technologies is relevant, but we are open to the best technical approach.

Important: This is not a project to build an application from scratch. The application already exists. We need a specialist who can analyze the existing extraction pipeline, identify the accuracy/performance bottlenecks, and improve it.

Before hiring, please answer:

1. Have you worked specifically with Hebrew OCR or Hebrew business documents?
2. Have you extracted tables and line items from invoices or similar documents?
3. What OCR/Document AI technologies have you used?
4. How would you measure extraction accuracy before and after your improvements?
5. Can you optimize both accuracy and processing speed?
6. Please provide an example of a similar OCR/document extraction project you have completed.

Additional technical details and sample documents will be provided to shortlisted candidates after initial screening.

Skills: OCR, Image Processing, Data Extraction, Computer Vision, AWS Textract, Natural Language Processing, Text Recognition, AI Model Integration

*Please Australian Hire Only*

Turner & Barnett builds the systems established Australian businesses run on: one portal that reads from the tools they keep and replaces the ones they don't, with automation doing the repetitive work. You'll build the integration layer for each client (Mostly Microsoft 365/Graph, Xero, HubSpot, job-management platforms with thin APIs), review other developers' work before it touches live data, and own our reusable toolkit so each new build starts well ahead of zero.

Australia-resident contractor, hours capped per stage, twelve months intended, paid trial first. We're to move this role into Development Lead for T&B.

Pro's but not essential:

-Team Leader in Tech Projects (Who & Your Role)
-Past Developments Showcase Experience
-10+ Years in the Space
-Comfortable and Experienced with LLM's
-Using LLM's for speed & efficiency

Are you open to seeing example projects and scoping the realistic timeframes it would take and Prices.

QBB LIVE is an AI digital human livestream platform designed for automated live commerce, product presentation, and brand broadcasting.

This project showcases a selection of QBB LIVE AI Digital Human Hosts, created for different brands, products, and livestreaming scenarios.

Each AI digital host can be used as a virtual presenter for livestream commerce, helping businesses deliver product introductions, promotional messages, brand content, and repeatable live presentations without requiring a human host to remain on camera throughout the entire broadcast.

The QBB LIVE digital human system is designed to support:

AI Digital Human Livestreaming
AI Virtual Hosts and AI Presenters
Automated Livestream Commerce
Product Demonstration and Promotion
Brand Livestream Broadcasting
Multilingual Livestream Content
Long-duration and Repeatable Live Sessions

Different digital human styles can be selected to match different industries, products, target audiences, and brand identities.

Rather than functioning only as AI avatars for prerecorded videos, QBB LIVE digital humans are designed for real livestreaming and live commerce workflows, combining digital human technology with automated broadcasting and commercial livestream operations.

This allows brands, e-commerce sellers, MCNs, and livestream operators to create a more scalable approach to live content production.

Platform: QBB LIVE
Technology: AI Digital Human / Virtual Host / Automated Livestreaming
Application: Live Commerce, E-commerce, Product Presentation, Brand Broadcasting

Official platform: qbblive.app

Skills: PHP, JavaScript, Adobe Flash, ActionScript, AI Text-to-speech, AI Chatbot Development, AI Model Integration, AI Development, AI Video, AI Voice Agents

Opción 1: En Español (Impactante, clara y profesional)
Especialista en Automatización con IA | n8n • Make • Zapier • Integración de APIs

Ayudo a empresas, emprendedores y agencias a eliminar tareas repetitivas y escalar sus operaciones mediante la creación de flujos de trabajo inteligentes, estables y 100% automatizados.

¿En qué puedo ayudarte?

Automatización de procesos: Diseño y ejecución de flujos avanzados en n8n, Make (Integromat) y Zapier.

Integración de Inteligencia Artificial: Implementación de modelos como OpenAI (GPT), Claude y Gemini para clasificación de datos, respuestas inteligentes y generación de contenido automático.

Conectividad total (APIs & Webhooks): Conexión fluida entre plataformas mediante REST APIs, webhooks y manejo estructurado de datos (JSON/arrays).

I need an AI phone hotline with payment required before the AI conversation begins.

The flow should be:

1. Customer calls a dedicated phone number.
2. Automated greeting plays immediately.
Example: “Welcome. To begin your AI session, payment is required.”

3. Customer completes payment before getting access.
I want this handled securely through Stripe, ideally allowing the customer to enter their card information during the call. If that’s not practical, the system can text them a Stripe payment link and keep the call waiting until payment is confirmed.

4. Backend verifies successful payment.
The AI conversation CANNOT begin until payment has been confirmed.

5. Once payment is approved, the caller is transferred directly into the AI voice experience.

6. The backend needs to track: phone number/caller ID, payment status, amount paid, session start time, session duration, and call completion.

7. I want an admin dashboard where I can see calls, payments, session lengths, and basic customer information.

# Fractional Chief Technology Officer (CTO)

LUNARTECH is looking for an experienced **Fractional CTO** to work with our engineering and leadership teams on the continued development and scaling of Octavia, our AI-powered voice, dubbing, and localization platform.

The Fractional CTO will help oversee technical strategy, architecture, infrastructure, engineering processes, deployment, scalability, reliability, and the evolution of Octavia's AI systems.

We are looking for someone with strong experience designing and operating production-grade technology platforms, ideally across **AI/ML, SaaS, cloud infrastructure, distributed systems, video/audio processing, or generative AI**.

You will work closely with the CEO and engineering team to review the existing architecture, identify technical risks and bottlenecks, establish engineering priorities, improve deployment and DevOps practices, evaluate infrastructure costs, and design systems capable of supporting significantly larger workloads and enterprise customers.

The role will also involve technical leadership around AI model integration, APIs, GPU infrastructure, security, observability, data architecture, engineering hiring, and long-term technology planning.

This is a **fractional leadership position** rather than a conventional full-time engineering role. We are looking for someone capable of moving between architecture-level decisions and practical execution while helping the engineering organization establish the systems and standards required for the next stage of growth.

If you have previously served as a CTO, VP Engineering, Principal Architect, or senior technical leader for an AI or high-growth technology company, we would be interested in speaking with you.

Morbeck Group Realty Inc., Brokerage is a boutique, technology-based real estate brokerage seeking an AI Trainer & Automation Specialist to enhance our Command Centre and AI agents. Responsibilities include building and improving AI agents, developing prompts, connecting AI tools with systems, testing for accuracy, and recommending AI models. Experience with APIs and automation tools is preferred. Real estate experience is an asset but not required. Please include examples of AI systems you've built, your availability, and hourly rate. Potential for ongoing work as we develop our technology platform.

Description:

We're an AI-native finance company that builds a strategic-finance platform and deploys it into our clients' cloud environments, then runs it as a managed service. Small senior team, fast ship cycles, heavy use of agentic tooling (Claude Code) end to end. We're adding a contract engineer who can own builds from architecture to deployed-and-working.

What you'll build

- Packaged, repeatable deployments of our platform into client AWS accounts — containers, S3, IAM/credential handling done cleanly
- Data connectors and pipelines for finance systems (QuickBooks Online, banking/payments APIs, time-tracking APIs) and external sources (market/fundraising data APIs)
- Extensions to our modular app/demo builder: dashboards, scenario and reporting views over structured finance data
- Agentic LLM workflows — deterministic flows where accuracy is load-bearing, eval layers where it matters
- Hardening: secrets, isolation, audit-friendly practices (we're on a path toward SOC 2)
- Reusable modules — every client build should make the next one faster

Engagement

Independent contractor (1099) via Upwork. Hourly, [$50–$90/hr — set your bracket] depending on experience and fit, ~20–30 hrs/week to start with a long runway for the right person, plus discretionary success fees tied to engagement outcomes. You set your own hours — we align on weekly targets and demo checkpoints, async-first (Slack) with a couple of short team calls each week. Many of our team run their own practices; other clients are welcome.

Must-haves

- LLM/agent systems you built and shipped to production — and can walk us through: what it did, what broke, how you fixed it
- Strong AWS: containerized deploys into accounts you don't own, S3, IAM, networking basics
- Full-stack fluency: Python and/or TypeScript on the back end; clean modern front ends
- Deep API-integration experience: OAuth, webhooks, rate limits, unreliable third-party data
- You can use AI tools heavily — we do — but you must be able to explain and defend every line you ship. Reviews here start with your TLDR: what you built, why, and exactly how the connectors work.
- Strong written English

Nice-to-haves: finance/accounting domain exposure (month-end close, FP&A, the QBO ecosystem) · Supabase/Postgres · MCP servers or Claude Code power use · prior work in SOC 2 environments · US-overlapping timezone

To apply: keep it short — (1) one production LLM/agent system: your role, what it did, what failed; (2) one AWS deployment you owned end to end; (3) rate + weekly availability. Start your proposal with the word LEDGER so we know you read this.

I run an AI automation consulting practice (AF Solutions AI, based in France) building custom AI-powered tools and dashboards for SMBs, mainly around workflow automation, data classification with LLMs, and internal ops tooling.

I'm looking for a serious, reliable full-stack developer to collaborate with on an ongoing basis, starting with one scoped project and potentially growing into a longer-term working relationship across multiple client projects.

Example of current work: one active project involves building an AI-powered email triage system for a property management company: reading a live mailbox (Gmail API / Microsoft Graph API), classifying incoming messages with an LLM (Claude) by priority and category, routing them to the right team member, and surfacing everything in a real-time dashboard. No auto-sending in this first phase, reliability and correctness matter more than speed.

Tech stack I work with:
- Next.js / React, deployed on Vercel
- Supabase (Postgres, Auth, Edge Functions)
- LLM API integration (Anthropic Claude, OpenAI) — structured outputs, classification pipelines, prompt design
- Third-party API integrations (Gmail API, Microsoft Graph, other business tools) with OAuth
- Automation/background jobs (GitHub Actions, cron-based pipelines)
- Basic awareness of data privacy best practices (clients often handle sensitive personal/financial data)

What I'm looking for:
- Solid, production-grade code, not prototypes that fall apart under real usage
- Comfortable working independently from a clear spec, and asking good questions when something's ambiguous
- Careful with anything that touches real user data or automated actions (I'd rather something take longer and be safe than fast and fragile)
- Good async written communication (English is fine)
- Available for ongoing/recurring work, not just a one-off gig

Engagement: Hourly or per-project to start, [rate/budget to confirm], flexible hours based on project needs. If this goes well, there's real potential for regular, recurring work across several client projects over the coming months.

To apply:
Please share 1-2 examples of relevant past work (dashboards, API integrations, or LLM-based projects), and start your application with the word "AUTOMATION" so I know you actually read this. A short note on how you'd approach the email-triage example above is a big plus.

# Hong Kong CTO / Head of Software R&D - AI & Technology Company

## About the Company

We are building an early-stage international technology group headquartered in Hong Kong, with a strong focus on software, AI, data, cloud technology and digital platforms.

Within the group, one Hong Kong company is dedicated to the ownership, management and further development of the group's core software technology.

A substantial part of the initial technology platform has already been developed. We are now moving from the founder-led development phase toward a professionally managed R&D organisation.

For this next phase, we are looking for a **Hong Kong-based CTO / Head of Software R&D**.

## The Role

The CTO will be responsible for the **technical strategy, architecture, R&D management and development oversight** of the company's software technology.

This is not intended to be a purely advisory or title-only position.

We are looking for someone who can take genuine responsibility for the technology function and exercise substantive technical judgment on behalf of the company.

The CTO does **not need to personally write all software**.

Our intended model is that the CTO defines and controls the technical direction, independent developers and specialist contractors execute development, and the CTO supervises, reviews and accepts the work.

This allows us to build an international development organisation while maintaining central technical leadership and consistent software architecture.

## Key Responsibilities

The CTO will be responsible for areas including:

* Technology and software strategy
* Software architecture and technical standards
* R&D planning and technical roadmaps
* Evaluating existing software and technical infrastructure
* Translating business requirements into technical development projects
* Defining technical specifications and development milestones
* Selecting and evaluating developers, engineers and specialist contractors
* Supervising outsourced and distributed software development
* Reviewing source code, architecture and technical deliverables
* Managing technical quality and development standards
* Approving or rejecting technical deliverables
* Release and deployment oversight
* Security and technology-risk oversight
* Technical documentation
* Maintaining appropriate development and R&D records
* Supporting protection of the company's software IP
* Managing appropriate use of open-source software and third-party technology
* Reporting material technology matters to the board

The CTO will operate within authority formally delegated by the company's board.

## R&D and Software IP Responsibility

An important part of the role is maintaining a clear relationship between **R&D activity and software IP ownership**.

The company will directly engage developers and development contractors where appropriate.

The CTO will oversee this development on behalf of the company.

For material R&D projects, the intended process will generally include project definition, technical specification, budget and approval, contractor engagement, development, CTO supervision, technical review, acceptance, and updating the relevant IP and development records.

The CTO will therefore play an important role in ensuring that the company actively manages and controls the development of its software rather than merely passively owning software IP.

## Development Model

We expect to work with an international network of independent software engineers, AI engineers, DevOps specialists and other technical contractors.

The CTO should be comfortable managing a distributed engineering environment.

Depending on the project, developers may be located in different countries.

The CTO will be expected to:

* Determine appropriate technical requirements
* Evaluate the technical competence of contractors
* Allocate development work
* Monitor progress and technical risks
* Review milestones
* Challenge inadequate work
* Require corrections where necessary
* Accept completed deliverables
* Maintain architectural consistency across projects

The CTO should therefore be capable of managing engineering rather than simply acting as an intermediary between the founder and developers.

## Relationship With the Founder and Board

The founder and shareholder will communicate the broader business vision and proposed product opportunities.

The CTO is expected to independently translate those objectives into appropriate technology and R&D decisions within the authority delegated by the company.

The CTO should be comfortable challenging technical proposals from the founder when another architecture, technology or development approach would be better for the company.

Material matters outside the CTO's delegated authority will be submitted to the board for consideration.

## Relationship With Commercial Companies

Separate operating companies within the group will commercially exploit technology licensed from the company.

The CTO may therefore work with commercial teams to understand product requirements and technical priorities.

However, the CTO's primary responsibility is **software, technology, R&D and technical IP management**.

Day-to-day sales, marketing, pricing and customer acquisition are not intended to be part of this position.

## What We Are Looking For

Ideally, you:

* Are currently based in Hong Kong
* Have substantial software engineering or technology leadership experience
* Have experience as a CTO, Head of Engineering, Lead Engineer, Software Architect or similar
* Have strong software architecture knowledge
* Understand modern cloud-based software development
* Are comfortable working with AI-assisted development and AI engineering
* Can manage distributed developers and independent contractors
* Can evaluate technical work rather than relying entirely on developers' own assessment
* Understand software security and technical risk
* Have experience with Git-based development workflows
* Can create and maintain appropriate technical documentation
* Are commercially pragmatic rather than purely academic
* Can exercise independent technical judgment
* Are interested in building a long-term technology platform from an early stage

Experience with SaaS platforms, AI, data infrastructure, cloud infrastructure, cybersecurity or large distributed systems would be particularly relevant.

## Position and Authority

This position is initially intended as a **substantive executive technology role rather than automatically a statutory directorship**.

The CTO will receive genuine delegated authority over defined technology and R&D matters without needing to become a statutory director solely for that purpose.

A future board appointment can be considered separately if appropriate as the company develops.

## Current Stage

The group is currently **pre-revenue**.

This gives us the opportunity to establish the technology organisation, governance structure and development processes before the business reaches significant scale.

The existing software provides a substantial starting point, while future development will increasingly be organised through the company under the CTO's technical leadership.

The initial workload and compensation should reflect the current early-stage position and can develop as R&D activity, revenue and responsibilities increase.

## Compensation

We are open to discussing an appropriate **monthly retainer or part-time executive arrangement** during the initial pre-revenue phase.

We are particularly interested in finding the right long-term person rather than simply filling the position.

Compensation and time commitment can increase as the company grows and the technology organisation becomes larger.

## Application

Please provide a short introduction covering:

* Your current location in Hong Kong
* Your software engineering background
* Previous CTO, engineering leadership or architecture experience
* Technologies and programming environments you know well
* Experience managing remote developers or contractors
* Experience with AI, SaaS, cloud, data or infrastructure platforms
* Your current professional activities
* Your general availability
* Your expected monthly retainer for an initial part-time and pre-revenue engagement

Please also briefly describe **one software platform or technically complex project for which you had meaningful architectural or development responsibility**, and explain your specific role.

Selected candidates will initially have an informal video call with the founder to discuss the technology, existing platform, proposed R&D structure and long-term vision.

Before formal appointment, the candidate will be able to review the proposed technology governance framework, responsibilities and delegated authority and provide their own input.

Full-Stack Developer — AI Meal Planning App | Supabase, React, Stripe & Instacart

We are looking for an experienced full-stack developer to complete and productionize an existing AI-powered meal planning and grocery application.

This is an existing product, not a build from scratch. Development will be divided into 4 clearly defined milestones, with payment released upon successful completion and acceptance of each milestone.

Tech / Integration Scope

* React
* Supabase / PostgreSQL
* Supabase Authentication
* OpenAI API
* Stripe subscriptions
* Instacart integration
* Existing Kroger integration
* REST APIs

Milestone 1 — Platform Foundation | $750

* Supabase setup and database architecture
* SQLite → Supabase migration
* Authentication and account flows
* React Router/navigation refactor
* Dashboard foundation
* Session persistence and error handling
* OpenAI/meal-generation optimization

Milestone 2 — Core Product | $840

* User profiles
* AI + manually entered recipes
* Saved recipes
* Pantry management
* Guest/shopping cart
* Snack functionality
* Cart improvements
* Kroger reconnection
* Navigation/state persistence

Milestone 3 — Monetization | $390

* Stripe Checkout
* Subscription plans and free trial
* Billing portal
* Webhooks
* Premium-access controls
* Subscription safeguards

Milestone 4 — Instacart + Launch | $405

* Instacart integration
* Shopping List API
* Retailer selection
* Shoppable links/handoff
* End-to-end QA
* Production readiness

Milestone Acceptance

Each milestone must be demonstrated in a working development environment before payment is released. Source code must be committed to the repository, agreed functionality must work end-to-end, and critical/blocking defects must be resolved.

Who We’re Looking For

We want someone who can own the implementation, not simply complete isolated tickets. Strong experience with React, Supabase/PostgreSQL, authentication, API integrations, Stripe, and production deployments is important.

Experience with OpenAI, Instacart, Kroger, grocery, recipe, meal-planning, or e-commerce applications is a major plus.

I'm working with a client that operates several subcommittees, each meant to have its own Google Business Profile (the listing that shows up on Google Maps and in local search). They currently have 5 to 7 profiles set up and want to grow to 15 to 20, while also putting a system in place to continuously monitor and optimize every profile in that set.

Two core pieces:

1. Profile growth. Help create new, legitimate Google Business Profiles for subcommittees that don't have one yet. Note: Google only allows separate profiles for genuinely distinct, independently operating entities, so eligibility per subcommittee still needs to be confirmed before any new profiles are created.

2. Ongoing monitoring and optimization. A system that regularly checks each profile's performance (search visibility, clicks/calls, reviews, listing completeness), flags underperforming ones against the client's stronger profiles, and drafts specific improvements (photos, categories, hours, description, review responses, posts).

Important: this should not be fully autonomous. Every AI-drafted change needs to route through a human approval step before publishing. This keeps us aligned with Google's third-party management policies (accuracy and client transparency requirements) and avoids the risk of an automated mistake going live across multiple profiles at once.

Where things stand: I'm still finalizing exact requirements with the client (their definition of "underperforming," which fields matter most, approval speed expectations, and confirming subcommittee eligibility). I'm looking for a developer who can help me think through feasibility, realistic timeline, and approach, ideally someone with real experience in the Google Business Profile API, so we can scope this properly together once I have full requirements.

Would love to hear your initial thoughts on feasibility and how you'd approach the build.

We’re looking for an AI developer to build a focused automation using OpenAI APIs, Python, and a workflow platform like Make.com or Zapier. The project involves processing user input, generating structured AI responses, and connecting the output with our existing tools via APIs. Experience with LLM integrations, prompt engineering, and REST APIs is required.

We’re looking for an exceptional Senior AI Developer to join a challenging, high-impact project where technical excellence, ownership, and communication truly matter.

If you’re a senior developer who can take complex requirements, understand what needs to be done, and turn them into high-quality, production-ready solutions without constant supervision, we want to hear from you.

We’re offering $60–$95 per hour, depending on your experience and technical expertise. We’re looking for strong experience developing and integrating AI/ML solutions, excellent software engineering fundamentals, and the ability to build reliable, scalable systems. Mobile development experience is not required, but candidates who also have experience developing mobile applications will be considered especially valuable.

Communication is extremely important. You should be able to understand requirements quickly, explain technical concepts clearly, communicate proactively, and work professionally with a client. Native-level English communication is required, and candidates must be U.S. citizens.

This is an opportunity for someone who wants more than simply completing assigned tasks. We’re looking for developers who take ownership, solve problems independently, care deeply about the quality of their work, and want to make a meaningful technical contribution.

$60–$95/hour
U.S. citizenship required
Native-level English required
Senior-level technical work
Mobile development experience is a plus
Meaningful projects and real responsibility

If you’re confident in your AI development skills, communicate exceptionally well in English, are a U.S. citizen, and are ready to take on serious technical challenges, apply now and show us what you can build.

AI TTS Systems Specialist – High-Volume Audio Production

We are looking for an experienced AI Text-to-Speech (TTS) Systems Specialist to help establish and operate a cost-efficient, high-volume narration workflow for ongoing digital content production.

This is primarily a TTS systems and production workflow position, rather than a traditional voiceover role.

Project

We produce a high volume of scripted content and are looking for a specialist who understands how to deploy and operate TTS technology efficiently at scale.

Our long-term production target is approximately:

60 hours of finished TTS narration per month
Approximately 15 hours per week

Completed scripts will be provided.

What We’re Looking For

We are particularly interested in experience with:

* Self-hosted TTS systems
* Open-source TTS technology
* Locally deployed AI models
* Custom TTS pipelines
* Cloud/GPU-based TTS deployment
* High-volume batch generation
* Long-form AI narration
* Audio processing and quality control
* TTS workflow automation

We are looking for someone with experience beyond simply operating standard consumer TTS applications.

Responsibilities

* Establish or recommend an appropriate TTS production workflow
* Generate narration from provided scripts
* Handle high-volume and batch generation
* Maintain consistent audio quality across projects
* Review audio for noticeable generation errors
* Correct pronunciation and pacing issues
* Regenerate problematic sections when necessary
* Deliver organized WAV or high-quality MP3 files
* Optimize the workflow as production volume increases

Cost Efficiency

Cost efficiency at scale is an important part of this project.

We are evaluating different approaches to TTS production and are particularly interested in self-hosted, open-source, custom, private, or other scalable TTS infrastructure where appropriate.

Our goal is to establish a sustainable long-term workflow rather than simply purchase additional usage from a standard consumer TTS subscription.

Any proposed models, software, datasets, services, or infrastructure must permit the intended use and comply with applicable licensing and commercial-use requirements.

When Applying

Please tell us:

1. Which self-hosted, open-source, custom, or locally deployed TTS systems you have experience with.
2. Whether you currently operate TTS infrastructure or would recommend configuring a system specifically for this project.
3. How you would approach approximately 60 hours of finished narration per month.
4. Your estimated monthly price for this production volume.
5. Any additional GPU, hosting, API, software, licensing, or infrastructure costs we should expect.
6. How you handle quality control, pronunciation issues, regenerations, and long-form consistency.
7. Whether your proposed solution could eventually be operated by our team or would remain a managed service.

Long-Term Opportunity

This is intended to become an ongoing production relationship.

We are looking for someone who understands both the technical and production sides of TTS and can help establish a reliable, scalable, and cost-efficient narration pipeline for long-term content production.

Description:
We specialize in building sophisticated, cutting-edge AI solutions and custom software services for our clients. We are looking for an experienced Python and Machine Learning Engineer to help us seamlessly integrate AI capabilities into production environments. If you have deep expertise in LLM orchestration, Retrieval-Augmented Generation (RAG), and building scalable ML backends, we’d love to work with you.

What You Will Do

AI Integration & LLM Orchestration: Design, develop, and integrate custom AI features using advanced LLM models.
RAG Pipeline Development: Build and optimize Retrieval-Augmented Generation architectures to ensure highly accurate, context-aware AI outputs.
Vector Database Management: Implement and manage vector databases for efficient similarity search and data retrieval.
Backend Development: Write clean, scalable Python code (using frameworks like FastAPI) to serve machine learning models and connect them with front-end applications.
Optimization: Evaluate, test, and tune ML models and prompts to maximize performance and minimize latency.


Requirements

Proven experience as a Machine Learning Engineer, AI Developer, or Python Backend Developer.
Strong proficiency in Python and standard ML libraries/frameworks (e.g., PyTorch, TensorFlow, scikit-learn).
Hands-on experience with LLM APIs (OpenAI, Anthropic, etc.) and AI orchestration frameworks (like LangChain or LlamaIndex).
Deep understanding of RAG architectures and experience integrating vector databases (e.g., Pinecone, Weaviate, or pgvector).
Experience building robust, high-performance REST APIs (FastAPI preferred).
Familiarity with cloud platforms (AWS) and modern development workflows (GitHub, CI/CD).


Nice to Have

Understanding of full-stack concepts and how AI endpoints integrate with modern frontends (React, TypeScript).
Experience with agentic workflows or advanced prompt engineering techniques.
Project Scope & Budget

Project Type:  One-time project
Budget: Fixed-price budget
Estimated Timeline: 1-3 months