Full Stack Engineer (AI and Agents)

Hire Overseas

4d•Remote

About The Position

We're looking for a Full Stack Engineer to own and ship product end to end at a fast-moving global talent company. You will build across the full stack using TypeScript, Node.js, React, Next.js, Tailwind, and Postgres, with a heavy focus on LLM integration and AI agent engineering. This is an internal role. One thing matters more than anything else here: your ability to independently own a project, execute it without hand-holding, ship something that works, and produce real results. We are not looking for someone who waits for detailed specs or needs constant direction. We are looking for someone who takes a problem, figures out the best solution, builds it, ships it, and iterates. If you are a strong full stack engineer with genuine AI and agent engineering experience who can work autonomously and deliver, this role is a strong fit.

Requirements

Strong, production-proven full stack engineering experience across TypeScript, Node.js, React, Next.js, Tailwind, and Postgres
Genuine, hands-on LLM and AI agent engineering experience — this is the most important technical requirement
Demonstrated ability to independently own projects end to end and ship working software without constant direction
Comfortable making architectural decisions and building from scratch in ambiguous environments
Strong engineering judgment with the ability to scope, prioritize, and execute without a formal playbook
Excellent written communication for async collaboration in a remote environment
Available to work during US Eastern Time business hours

Nice To Haves

Experience with AI orchestration frameworks such as LangChain, LlamaIndex, Vercel AI SDK, or similar
Background building internal tooling or automation systems for operational teams
Experience working in a lean startup or early-stage company where you were the primary or sole engineer
Familiarity with deployment and infrastructure tooling such as Vercel, Railway, or similar
Prior experience building RAG pipelines, multi-agent systems, or tool-use integrations

Responsibilities

Design, build, and deploy LLM-powered workflows and AI agents that solve real operational problems
Integrate large language models into internal products and automate complex, multi-step processes
Build agent logic, tool use, memory systems, and orchestration layers that work reliably in production
Continuously improve AI system reliability, accuracy, and performance based on real usage
Build and ship full stack features and internal tools across the entire stack independently
Develop frontend interfaces using React, Next.js, and Tailwind that are clean, fast, and functional
Build backend services, APIs, and data layers using Node.js and Postgres
Own the full lifecycle of every project from scoping through deployment and iteration
Take ambiguous problems and turn them into working software without requiring detailed specs
Make sound architectural decisions independently and execute on them with precision
Ship fast, iterate based on real feedback, and maintain a high bar for output quality
Proactively identify opportunities to improve systems, reduce friction, and build things that make the team faster