Full-stack Engineer Python, TDD

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 so