Roles & Responsibilities

Strong Python and FastAPI experience with asynchronous design and clean service architecture
Solid React and Next.js skills; ability to build polished, functional UIs without hand-holding
Practises TDD; red-green-refactor is the default loop
Experience with relational databases (PostgreSQL) including schema design, migrations, and query optimization; experience with REST APIs and third-party integrations

Requirements:

Build and maintain FastAPI services powering compliance checks, document validation, and third-party integrations; design durable, auditable workflow logic with traceability; implement tests (TDD)
Develop the Next.js frontend (candidate portal and admin dashboard) with a component-first approach; deliver clean, accessible UI using shadcn ui and Tailwind; keep frontend data fetching tight with React Query and typed API contracts
Integrate external APIs (DBS providers, professional registers, identity verification) and own database schema design and performance considerations on Postgres
Build AI/agentic components including compliance agents, browser automation for verification portals, and observability tooling for LLM workflows with prompt evaluation and CI checks

Talent Shore

About Talent Shore

Talent Shore connects top talent in South Africa with leading recruitment businesses in the United Kingdom, Europe and the United States. We’re proud to be the first offshoring company, focussed on the recruitment sector, with a track record of successfully helping recruitment businesses to scale up through cost-effective talent acquisition and management. For companies, we take the risk out of the offshoring process by supporting your business to effectively scale your operations and maximise the productivity of your teams in the UK, Europe, USA and South Africa. South Africa has an amazing pool of talented and skilled professionals who can help your business grow. For SA employees, we are looking for Recruitment / Talent Acquisition / Admin / Compliance / Accounting specialists of varying levels of skill and experience. The international clients we work with offer excellent salaries, in-country support, professional development and real investment in your career growth. Reach out to our team today.

Founded: 2018

Company size: 11 - 50

Website LinkedIn See all jobs →

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

Ready to apply?

APPLY

Share ·