Full Stack AI Engineer
TLDR
Build AI-powered tools that enhance legal workflows, contributing to efficiency and accuracy in contract management through innovative technology.
-
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.
-
Minimum 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.
-
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.
Factor is at the forefront of legal innovation, delivering AI-integrated contracting solutions tailored for large corporate legal departments and Fortune 500 companies. With a strong commitment to diversity and inclusion, we redefine how legal services are delivered through our leadership in Integrated Law™.