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    Talent Shore

    Full-stack Engineer (Python, TDD)

    Talent Shore
    Full-time
    Verified Remote
    RemoteProgrammingToday

    About this role

    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

    About Talent Shore

    Talent Shore
    Talent Shore

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