AI Full-Stack Engineer (Next.js / AI Agent)

Responsibilities

1. AI Agent development: build AI agents and tool calling with Mastra and the Vercel AI SDK.
2. AI generation: develop image, video and text generation features, orchestrating background jobs with Trigger.dev.
3. AI quality and cost: own model evaluation, tracing, and model selection across providers (OpenAI / Anthropic / Google).
4. Full‑stack development: ship frontend and backend features with Next.js, Supabase, shadcn/ui and TailwindCSS.
5. Engineering productivity: use AI coding tools such as Claude Code and Codex to keep raising development speed and quality.

Requirements

1. Strong full‑stack fundamentals: expert in TypeScript, React and Next.js (App Router / Server Components / Server Actions); able to take a feature from design to production on your own.
2. Hands‑on LLM application experience: shipped a real project with at least one of Vercel AI SDK / Mastra / LangChain / OpenAI SDK; understand prompt design, tool calling, streaming and structured output.
3. Solid PostgreSQL schema design and SQL; experience with Supabase or a similar BaaS.
4. Heavy user of AI coding tools who reviews and verifies AI‑generated code and owns the final quality.
5. Fluent English reading; good communicator with strong ownership and self‑drive; writes clear technical docs.

Nice to have

1. Experience with agent memory, RAG / vector search (pgvector, embeddings, rerank) or multi‑agent systems.
2. Built LLM evaluation (evals, LLM‑as‑judge) or production AI observability (traces, cost and latency analysis).
3. Worked on image / video generation products, or media processing with tools like ffmpeg.
4. Deployed on Vercel, Cloudflare Workers or Google Cloud; used Trigger.dev or a similar background job framework.
5. Built SaaS products (Clerk auth, Stripe subscription billing, i18n), or know hardware, manufacturing or supply chains.