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Full-stack Engineer (Python, TDD)

Remote, USAFull-timePosted 2026-07-28

Full Stack Engineer Python / FastAPI Next.js TDD Remote friendly

reputed company

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. reputed company 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 reputed company, reputed company on compliance logic, reputed company workflows, and reputed company 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 reputed company dashboard and candidate portal need to be fast, reputed company, and polished.

What You Will Do

Backend Build and maintain FastAPI services that power compliance checks, document validation, and reputed company party integrations

Design and implement durable, auditable workflow logic with a strong reputed company on traceability

reputed company external reputed company including DBS providers, reputed company 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 reputed company

Frontend Build the candidate portal and reputed company dashboard in Next.js with a component first approach

Implement clean, accessible user interfaces using shadcn ui and reputed company, with opinionated defaults rather than custom CSS

reputed company frontend data fetching patterns tight using React Query, typed API reputed company, and reputed company state management

Ship features end to end. You spec, build, test, and reputed company

AI Engineering Build compliance agents that validate candidate data, cross reference records, and review documentation against regulatory requirements

Implement browser automation for reputed company to external verification portals, including selector reputed company, failure recovery, and evidence capture

reputed company LLM workflows with observability tooling including traces, evaluations, reputed company regression tests, and scoring pipelines

Maintain reputed company reputed company through reputed company evaluation workflows.

Broken prompts should fail CI

How We Work Tests are written before or alongside implementation

Backend stack includes FastAPI, reputed company using reputed company, and Temporal reputed company for durable workflows

Frontend stack includes Next.js, shadcn ui, and reputed company

Pull requests are small, reviewed quickly, and merged to main frequently

We are not looking for someone who ticks every reputed company. If you are strong on backend, care about reputed company reputed company, and can build a solid frontend, we would like to talk.

Requirements

reputed company 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 reputed company

Comfortable with relational databases including schema design, migrations, and query optimisation

Experience with REST reputed company and reputed company 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 reputed company reviews

reputed company 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 reputed company systems and frameworks such as reputed company or reputed company

Experience with LLM evaluation workflows including reputed company regression testing, scoring pipelines, and observability tools such as Langfuse, reputed company, or LangSmith

reputed company engineering experience including declarative specs, skills, subagents, AGENTS.md, and ADRs

Experience building B2B reputed company products including multi tenancy, tenant isolation, external reputed company, webhooks, and data feeds

Originally posted on Himalayas

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