Full-stack Engineer (Python, TDD)

Full Stack Engineer Python / FastAPI [link removed] 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 [link removed] 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 [link removed] 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 [link removed] 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 [link removed], 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 [link removed] 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, [link removed], and ADRs

Experience building B2B SaaS products including multi tenancy, tenant isolation, external APIs, webhooks, and data feeds

Originally posted on Himalayas