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About the Role
We are building a new R&D capability focused on developing data-driven and AI-enabled solutions for legal services and the wider business of law. The AI Engineer will build end-to-end AI capabilities for R&D products, including agentic workflows, retrieval and context, agent and evaluation harnesses, and user-facing features. This is a hands-on full-stack AI engineering role focused on applied AI product delivery, requiring the application of enterprise architecture, security, and deployment patterns while taking practical responsibility for code quality, testing, monitoring, and troubleshooting.
Responsibilities
- Build complete AI-enabled product features across user interface, backend, AI orchestration, retrieval, and approved enterprise integrations.
- Design and build agentic AI workflows using structured outputs, tool calling, workflow orchestration, document processing, human-review steps, and appropriate controls.
- Build reusable agent harnesses: practical runtime patterns around tools, state, context, approvals, traces, and test fixtures that make agents consistent, inspectable, and safe to use.
- Build grounded retrieval and context patterns using approved data products, search indexes, document repositories, and permission-aware sources; provide evidence and citations where appropriate.
- Design and operate evaluation harnesses for AI workflows, including curated test sets, representative scenarios, automated and human grading, regression tests, trace review, and user-feedback loops.
- Manage prompts, model configuration, tool schemas, and routing as tested product assets, including fallbacks and cost/latency trade-offs.
- Implement AI observability through traces, logs, metrics, and evaluation results, so quality, reliability, failure modes, latency, and cost are visible and can be improved.
- Build clear APIs and integrate AI products with approved data, document, search, and business systems.
- Build usable interfaces that help users understand AI output, inspect supporting evidence, provide feedback, and complete review or approval steps.
- Write maintainable Python and TypeScript code; use Docker, Git, automated testing, and CI/CD to make development, testing, and deployment repeatable.
- Apply agreed security, authentication, data-handling, deployment, and release patterns, working with the relevant firm technology teams where needed.
Requirements
- At least three years’ professional experience delivering production AI products, with demonstrable recent experience building AI-enabled products or workflows in a SaaS environment.
- Strong Python, plus practical TypeScript or JavaScript.
- Able to build APIs and services using FastAPI, Flask, or comparable technologies, and usable interfaces using React, Next.js, or equivalent.
- Demonstrable experience building AI-enabled products or workflows using LLM APIs, structured outputs, retrieval and embeddings, tool calling, agents, or workflow orchestration.
- Experience building agentic systems using an agent framework or custom orchestration patterns, including tools, state/context management, and human-review or approval controls.
- Experience evaluating AI workflows using representative test sets, scenario design, model or prompt experiments, trace review, user feedback, and automated or human grading.
- Experience taking AI features from prototype into controlled production, including testing, monitoring, troubleshooting, and ongoing improvement.
- Experience with AI observability, tracing, and evaluation tooling.
- Strong understanding of grounded retrieval, context quality, evidence/citations, and the ways in which AI systems fail.
- Experience designing APIs and integrating with enterprise systems; sound handling of authentication, authorization, secrets, and sensitive data.
- Comfort with Docker, Git, automated testing, and CI/CD.
- Strong debugging and systems-thinking skills, including the ability to diagnose failures across models, prompts, tools, retrieval, and integrations.
- Able to explain AI behavior, evaluation results, and technical trade-offs clearly to technical and non-technical colleagues.
Skills
- Python
- TypeScript
- JavaScript
- FastAPI
- Flask
- React
- Next.js
- LLM APIs
- Structured outputs
- Retrieval
- Embeddings
- Tool calling
- Agents
- Workflow orchestration
- Agent framework
- Docker
- Git
- Automated testing
- CI/CD
- AI observability
- Tracing
- Evaluation tooling
Location
- London
Work Type
- Enabled work model (office and remote flexibility)
Experience Level
- At least three years’ professional experience delivering production AI products
Benefits
- Range of family friendly and inclusive employment policies
- Access to programmes and services aimed at nurturing health and overall wellbeing
About the Company
- Norton Rose Fulbright is a global law firm with more than 3,000 lawyers advising clients across locations in the United States, Europe, Canada, Latin America, Asia, Australia, Africa and the Middle East.
- We provide a full scope of legal services to the world’s preeminent corporations and financial institutions.
- Our vision is to be a world class business, profitable, ambitious, cooperative and considerate, supporting our clients and people through our global business principles of Quality, Unity and Integrity.
- With over 7,000 employees worldwide, our culture is the thread that connects us.
- Our strategy and culture are closed connected – defined by shared ambition, global collaboration and a one-team mindset.
- We believe pioneering work happens when people are empowered to think beyond boundaries, explore new opportunities and grow through diverse experiences.
- Alongside the right skills and experience, we are looking for people who are innovative, commercially minded, and motivated by the impact of the work they do – ready to share in our ambition and help shape what comes next.
- Because while individuals can do well, together we achieve something extraordinary.
Equal Opportunity
- We are proud to be an equal opportunities employer and encourage applications from individuals who can complement our existing teams.
- We strive to create an inclusive and accessible recruitment process for all candidates.
- If you require any tailored adjustments or accommodations, please let us know here.