Workflow automationContractProject-BasedRemoteAI DevelopmentFlexibleHigh-Paying

Agent Build Partner (Overflow Work)

SkyHunter Partners · Remote

$2,500 – $6,000 / project

The outcome

Ship production AI agents and LLM applications for real clients with well-defined scope and clear deliverables. Work on your own schedule, claim projects that fit your expertise, and get paid fairly for quality work. No scope creep, no endless client meetings, no surprises. SkyHunter vets clients, writes clear specs, and handles all business friction so you can focus on building.

The client

SkyHunter Partners — Remote. A workflow automation build we delivered end to end.

The challenge

SkyHunter Partners is a curated network of experienced AI builders taking on client projects as overflow work. The model is simple: we identify clients who need AI solutions, write detailed specifications, then hand the project to a builder who can own delivery. You browse available projects, claim ones that fit your expertise and schedule, build the solution, deliver working code with documentation, and get paid. That's it. No long-term engagement, no sales calls, no feature creep. Just high-quality, well-scoped work that pays $2.5K–$6K per project completed in 2–6 weeks. Recent projects: a customer support chatbot for a DTC e-commerce brand (Claude API, Python, integrated with their Shopify), a legal research RAG system for a small law firm (vector database, retrieval-augmented generation), a healthcare data processing agent (HIPAA-compliant, structured data extraction from medical documents), a content repurposing agent for a media company (takes long-form content, generates social posts and email newsletters). You pick projects you want to build, deliver to spec, and move on. If you ship 4-6 projects per year, that's $10K–$36K in additional income alongside your day job or other work.

What we built

Browse available projects in the SkyHunter Partners dashboard. Review scope, timeline, client details, and success criteria. Claim projects that match your expertise and availability. Once claimed, the project is yours—no competition with other builders.
Kickoff with the client: join a 30-minute call to confirm requirements, ask clarifying questions, and establish communication expectations. Get answers upfront so there are no surprises during development. The spec is detailed, but edge cases happen—clarify them now.
Build production-ready code: write clean, tested, documented code that the client can deploy and modify without you. Use best practices: proper error handling, logging, environment variable configuration, type hints, and comments for non-obvious logic. Code quality matters; we don't accept sloppy work.
Use the right tech stack for the job: you choose the stack, but it should be justifiable and reasonable. Most projects use Claude API or OpenAI, Python (FastAPI, Bottle, Flask) or Node.js, and a vector DB if retrieval is needed. Some projects use no-code tools if that makes sense. No NFT blockchain projects or other nonsense.
Deliver on timeline: commit to a delivery date, hit it. If you realize on day 3 of a 10-day project that you underestimated, tell the project manager immediately. Communication early is not a mark of failure; silence until the deadline is. We will adjust scope or timeline rather than let you deliver late.
Write comprehensive handoff documentation: include (1) setup instructions (clone, install dependencies, configure environment, run tests), (2) architecture overview (what each component does, how they talk to each other), (3) how to deploy it (where does it run, what's the deployment process), (4) how to test it (what tests exist, how to run them, what they validate), (5) how to modify it (where would a non-expert add a new feature). A developer who has never seen your code should be able to deploy it and make small changes with your README.
Provide post-delivery support: you are available for 1 hour after delivery for questions, deployment help, and clarification of intent. 'How do I run this locally?' is post-delivery support. 'Can you add a new feature?' is not—that's scope creep and the client pays for a change order. Be professional and helpful on support calls, but also be clear about what is and is not covered.
Gather feedback: after the project closes, clients fill out a feedback form (code quality, communication, timeliness, professionalism). Build a strong reputation so you get first pick of future projects.
Maintain reputation: deliver on time, write good code, be professional in communication. If you consistently miss deadlines, deliver buggy work, or have client complaints, you get fewer project offers. Build a reputation that makes clients request you by name.

The stack

Required: you have shipped at least one production LLM application that is actually used by real people (not a demo, not a toy). You have hands-on, production experience with Claude API or OpenAI's APIs. You write Python or TypeScript code that works, and you use git for version control. You understand how to build and test code. You have shipped code in a professional setting (startup, company, client work). Nice to have: experience with vector databases (Pinecone, Weaviate, Supabase pgvector), prompt engineering and evals, FastAPI or similar lightweight web frameworks, Next.js or similar frontend frameworks, experience with Stripe or similar payment APIs, HIPAA/compliance experience, Docker and deployment. You are professional (you answer emails, meet deadlines), you take pride in code quality, you can communicate clearly with non-technical clients, and you are genuinely interested in shipping real AI applications. You are not interested in long-term employment or endless meetings; you want to build, deliver, and move on.

Ready to join the team?

Tell us about your experience and why you're excited about this role.

The challenge

What we built

Browse available projects in the SkyHunter Partners dashboard. Review scope, timeline, client details, and success criteria. Claim projects that match your expertise and availability. Once claimed, the project is yours—no competition with other builders.

Kickoff with the client: join a 30-minute call to confirm requirements, ask clarifying questions, and establish communication expectations. Get answers upfront so there are no surprises during development. The spec is detailed, but edge cases happen—clarify them now.

Build production-ready code: write clean, tested, documented code that the client can deploy and modify without you. Use best practices: proper error handling, logging, environment variable configuration, type hints, and comments for non-obvious logic. Code quality matters; we don't accept sloppy work.

Use the right tech stack for the job: you choose the stack, but it should be justifiable and reasonable. Most projects use Claude API or OpenAI, Python (FastAPI, Bottle, Flask) or Node.js, and a vector DB if retrieval is needed. Some projects use no-code tools if that makes sense. No NFT blockchain projects or other nonsense.

Deliver on timeline: commit to a delivery date, hit it. If you realize on day 3 of a 10-day project that you underestimated, tell the project manager immediately. Communication early is not a mark of failure; silence until the deadline is. We will adjust scope or timeline rather than let you deliver late.

Write comprehensive handoff documentation: include (1) setup instructions (clone, install dependencies, configure environment, run tests), (2) architecture overview (what each component does, how they talk to each other), (3) how to deploy it (where does it run, what's the deployment process), (4) how to test it (what tests exist, how to run them, what they validate), (5) how to modify it (where would a non-expert add a new feature). A developer who has never seen your code should be able to deploy it and make small changes with your README.

Provide post-delivery support: you are available for 1 hour after delivery for questions, deployment help, and clarification of intent. 'How do I run this locally?' is post-delivery support. 'Can you add a new feature?' is not—that's scope creep and the client pays for a change order. Be professional and helpful on support calls, but also be clear about what is and is not covered.

Gather feedback: after the project closes, clients fill out a feedback form (code quality, communication, timeliness, professionalism). Build a strong reputation so you get first pick of future projects.

Maintain reputation: deliver on time, write good code, be professional in communication. If you consistently miss deadlines, deliver buggy work, or have client complaints, you get fewer project offers. Build a reputation that makes clients request you by name.