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Factor

Full Stack AI Engineer

Belfast
Posted about 2 months ago
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Full Stack AI Engineer

About Us

With a legacy as a pioneer in the ALSP market, Factor leads the next evolution in legal services through AI-integrated contracting.

Factor is the market leader in Integrated Law™, combining the expertise of Traditional Law, the efficiency of New Law, and the close business integration of In-house legal to deliver complex legal work at scale.

Factor works alongside corporate legal departments to solve for the ever-increasing demands and complexity of transactional legal work. Our "do while transforming, transform while doing" approach combines specialist expertise, AI-powered solutions, and business process knowledge to deliver better performance, better business and legal outcomes, and a transformed contracting experience.

Our clients span Fortune 500 companies including global banks, major pharmaceutical companies and large technology firms.

We believe that the more diverse our team becomes — in backgrounds, skills, experiences, and perspectives — the higher our creative potential as a company. We are dedicated to growing a diverse, inclusive company where individuals of all backgrounds thrive.

We are comprised of more than 300 lawyers, legal specialists, technologists, and process consultants across Europe and North America – Join us!


The Role

Factor Law is hiring a Full Stack AI Engineer to build production-grade AI products for complex legal workflows. This is a hands-on engineering role for someone who can move confidently from backend architecture to frontend delivery, from document ingestion to user experience, and from prototype to production without waiting for detailed step-by-step instructions.

You will join a high-autonomy product and engineering environment building AI-powered tools that help legal teams work faster, more accurately and with more confidence. The work will sit at the intersection of contract intelligence, document processing, retrieval, AI orchestration, workflow automation, enterprise authentication, asynchronous job handling, and complex user interfaces.

This role is for a builder. We are looking for someone who can use AI-assisted coding tools aggressively and responsibly, particularly Codex, while still owning correctness, security, maintainability, and production quality. The right person will use AI to move faster, not to cut corners.


Responsibilities

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

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Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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  • 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, authorization, secure data handling, and auditability.
  • Operate within Azure-based environments, including services such as Blob Storage, Key Vault, managed databases, Redis, and containerized 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 behavior, and user impact.
  • Legally eligible to work in the relevant location.

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Desirable Criteria

  • Experience with Azure services, especially Blob Storage, Key Vault, managed PostgreSQL, managed Redis, and containerized 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 optimization.
  • Experience with Application Insights, OpenTelemetry, or similar production telemetry systems.
  • Familiarity with secure software delivery in ISO-compliant or enterprise client environments.

Additional Information

As a member of an ISO Compliant center, the candidate will be required to follow the policies and procedures on Information Security Management System in place at the Center of Excellence and globally at Factor. As a member of the Factor team, the applicant will have access to various company and client assets and will be required to maintain the level of security as identified for each asset.

Factor is an Equal Opportunity Employer.

For more, visit: factor.law

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Skills

Python
FastAPI
React
TypeScript
PostgreSQL
SQLAlchemy
Redis
Docker
Azure
Pydantic
Alembic
TanStack Query
AI-assisted coding
Asynchronous job systems
RAG
LLM Orchestration

Location

Belfast, Northern Ireland, United Kingdom

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