Full-stack Engineer (Python, TDD)

Job Description Full Stack Engineer Python / FastAPI Next.js TDD Remote friendly About Us We automate end to end candidate compliance for education recruitment agencies using deterministic, AI powered workflows. We collect and validate documents, execute compliance rules, and produce a fully auditable clearance outcome for every candidate. We are early, moving fast, and building something technically interesting. Agentic compliance pipelines, rules engines, and document processing AI on top of a clean FastAPI and Next.js stack. The Role You will own both sides of the stack. Backend heavy in practice, focused on compliance logic, agentic workflows, and third party integrations, but you will also ship the React and Next.js surfaces that compliance teams and candidates use every day. This is not a lite frontend, serious backend split. We care deeply about both. The admin dashboard and candidate portal need to be fast, clear, and polished. What You Will Do Backend Build and maintain FastAPI services that power compliance checks, document validation, and third party integrations Design and implement durable, auditable workflow logic with a strong focus on traceability Integrate external APIs including DBS providers, professional registers, and identity verification services Write high coverage tests first. TDD is not optional here, it is how we work Own database schema design and query performance on Postgres Frontend Build the candidate portal and admin dashboard in Next.js with a component first approach Implement clean, accessible user interfaces using shadcn ui and Tailwind, with opinionated defaults rather than custom CSS Keep frontend data fetching patterns tight using React Query, typed API contracts, and clear state management Ship features end to end. You spec, build, test, and deploy AI Engineering Build compliance agents that validate candidate data, cross reference records, and review documentation against regulatory requirements Implement browser automation for access to external verification portals, including selector resilience, failure recovery, and evidence capture Instrument LLM workflows with observability tooling including traces, evaluations, prompt regression tests, and scoring pipelines Maintain prompt quality through structured evaluation workflows. Broken prompts should fail CI How We Work Tests are written before or alongside implementation Backend stack includes FastAPI, Postgres using Neon, and Temporal Cloud for durable workflows Frontend stack includes Next.js, shadcn ui, and Tailwind Pull requests are small, reviewed quickly, and merged to main frequently We are not looking for someone who ticks every box. If you are strong on backend, care about code quality, and can build a solid frontend, we would like to talk. Requirements What We Are Looking For Must have Strong Python and FastAPI experience with a solid understanding of async and clean service design Solid React and Next.js skills. You can build a good looking, functional UI without hand holding Practises TDD. Red, green, refactor is your default loop Comfortable with relational databases including schema design, migrations, and query optimisation Experience with REST APIs and third party integrations Browser automation using Playwright or similar tools, including scripting, evidence capture, and reliable selectors Strong Git hygiene including meaningful commits, small pull requests, and constructive code reviews Nice to have Experience with workflow orchestration such as Temporal Familiarity with regulated environments or compliance adjacent products Experience with shadcn ui, Radix, or similar headless component libraries Exposure to LLM powered document processing or agentic systems and frameworks such as LangChain or Mastra Experience with LLM evaluation workflows including prompt regression testing, scoring pipelines, and observability tools such as Langfuse, Braintrust, or LangSmith Agentic engineering experience including declarative specs, skills, subagents, AGENTS.md, and ADRs Experience building B2B SaaS products including multi tenancy, tenant isolation, external APIs, webhooks, and data feeds