Full Stack AI Engineer

Responsibilities

• • Build production services using Python, FastAPI and Pydantic models. 

  • Develop APIs and backend workflows that support AI-enabled document and contract intelligence. 

  • Work with PostgreSQL, SQLAlchemy and Alembic to model, migrate and operate reliable data layers. 

  • Build and maintain asynchronous job systems, including queue processing, retries, idempotency, dead-letter handling, cancellation, progress tracking and failure recovery. 

  • Use Redis for caching, transient state, job status and coordination, with sensible reliability patterns such as timeouts, circuit breakers and graceful degradation. 

  • Build React and TypeScript interfaces that consume backend services cleanly and provide users with transparent job states, useful error handling and polished interaction patterns. 

  • Use TanStack Query for server state, including query key factories, cache invalidation, optimistic updates and polling patterns for long-running AI jobs. 

  • Support document-heavy workflows, including ingestion, retrieval, structured extraction, redlining, rich text editing and AI-assisted review. 

  • Build features that respect enterprise security expectations, including authentication, authorisation, secure data handling and auditability. 

  • Operate within Azure-based environments, including services such as Blob Storage, Key Vault, managed databases, Redis and containerised deployments. 

  • Instrument production systems using Application Insights or equivalent observability tooling. 

  • Use AI coding tools to accelerate implementation, debugging, refactoring, testing and documentation, while maintaining high code quality. 

  • Improve developer experience by reducing boilerplate, improving test coverage, simplifying local setup and documenting repeatable patterns. 

  • Move fluidly between infrastructure and product delivery when needed. 

Essential Criteria

• • 3-5 years of professional software engineering experience, or equivalent evidence of exceptional delivery.

  • Strong production experience with Python and FastAPI. 

  • Strong working knowledge of Pydantic, PostgreSQL, SQLAlchemy and Alembic. 

  • Experience building React and TypeScript applications that consume real backend services. 

  • Demonstrable experience shipping production software, not only prototypes or internal scripts. 

  • Comfort working with asynchronous jobs, background workers or queue-based systems. 

  • Experience using Redis for caching, job status, state or coordination. 

  • Practical experience with Docker and cloud-hosted deployments. 

  • Strong ability to debug across backend, frontend, database, authentication and infrastructure layers. 

  • High fluency with AI-assisted coding tools such as Codex, Cursor, Claude Code or similar. 

  • Ability to work with ambiguity and make progress without waiting for perfect specifications. 

  • Clear ownership mentality, including follow-through on edge cases, tests, production behaviour and user impact. 

  • Legally eligible to work in the relevant location. 

Desirable Criteria

• • Experience with Azure services, especially Blob Storage, Key Vault, managed PostgreSQL, managed Redis and containerised application hosting. 

  • Experience with enterprise authentication, especially Azure MSAL, OAuth/OIDC, token refresh, redirects and test-time auth bypasses. 

  • Experience with RAG, embeddings, vector search, document chunking, retrieval evaluation or LLM orchestration. 

  • Experience building legal tech, contract intelligence, document automation or professional services software. 

  • Familiarity with Radix UI, shadcn/ui, Tailwind CSS and design-token-first frontend systems. 

  • Experience with rich text or structured editing tools such as TipTap, Markdown editors or custom editor frameworks. 

  • Experience with Vite, code splitting, bundle monitoring, lazy loading and performance optimisation. 

  • Experience with Application Insights, OpenTelemetry or similar production telemetry systems. 

  • Familiarity with secure software delivery in ISO-compliant or enterprise client environments.