Full Stack AI Engineer

Role Overview

• 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.

Requirements

• 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.

Tech Stack

• Azure
• Cloud
• Docker
• Postgres
• Python
• React
• Redis
• TypeScript
• Vault