Full Stack AI Engineer in Belfast

Full Stack AI Engineer in Belfast

Belfast Full-Time 60000 - 80000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Build AI products for legal workflows using cutting-edge technologies.
  • Company: Join Factor, a pioneer in AI-integrated legal services.
  • Benefits: Competitive salary, remote work options, and a diverse, inclusive culture.
  • Other info: Dynamic environment with opportunities for growth and collaboration.
  • Why this job: Make a real impact in the legal tech space with innovative AI solutions.
  • Qualifications: 3-5 years of software engineering experience, strong Python and FastAPI skills.

The predicted salary is between 60000 - 80000 £ per year.

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.

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

  • 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.

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.

Full Stack AI Engineer in Belfast employer: Factor

Factor is an exceptional employer, offering a dynamic and inclusive work culture that fosters innovation and collaboration among a diverse team of legal and tech professionals. As a Full Stack AI Engineer, you will have the opportunity to work on cutting-edge AI-powered tools in a high-autonomy environment, with ample opportunities for professional growth and development. Located at the forefront of the legal services industry, Factor provides a unique chance to contribute to transformative projects while enjoying a supportive atmosphere that values creativity and individual contributions.

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Contact Details:

Factor Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Full Stack AI Engineer in Belfast

Tip Number 1

Network like a pro! Reach out to folks in the industry, attend meetups, and connect with Factor employees on LinkedIn. A personal touch can make all the difference when it comes to landing that interview.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, FastAPI, or AI tools. This is your chance to demonstrate your hands-on experience and creativity—make it shine!

Tip Number 3

Prepare for the interview by brushing up on your technical knowledge and problem-solving skills. Factor loves builders who can think on their feet, so practice coding challenges and be ready to discuss your past projects.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the Factor team and being part of our innovative journey.

We think you need these skills to ace Full Stack AI Engineer in Belfast

Python
FastAPI
Pydantic
PostgreSQL
SQLAlchemy
Alembic
React

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter for the Full Stack AI Engineer role. Highlight your experience with Python, FastAPI, and any relevant projects that showcase your skills in building production-grade software.

Showcase Your Projects:Include links to your GitHub or any other portfolio where we can see your work. We love seeing real-world applications of your skills, especially if they involve AI or legal tech!

Be Clear and Concise:When writing your application, keep it straightforward. Use bullet points for your skills and experiences, and make sure to address how you meet our essential criteria. We appreciate clarity!

Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!

How to prepare for a job interview at Factor

Know Your Tech Stack

Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, FastAPI, and React. Brush up on your knowledge of PostgreSQL and Redis too, as these are crucial for the role. Being able to discuss your experience with these tools confidently will show that you're ready to hit the ground running.

Showcase Your Problem-Solving Skills

Prepare to discuss specific challenges you've faced in previous projects, particularly those involving asynchronous jobs or complex user interfaces. Factor values a builder mentality, so be ready to share how you approached problems creatively and effectively, demonstrating your ability to work with ambiguity.

Demonstrate Your AI Knowledge

Since this role involves using AI-assisted coding tools, be prepared to talk about your experience with tools like Codex or similar. Share examples of how you've used AI to enhance your coding process while maintaining high standards of quality and security. This will highlight your alignment with Factor's approach to innovation.

Cultural Fit Matters

Factor is committed to diversity and inclusion, so be sure to express your appreciation for diverse perspectives and teamwork. Share experiences where you collaborated with a diverse group or contributed to an inclusive environment. This will resonate well with their values and show that you’re a good cultural fit.