{"id":1335418,"url":"https://alion.io/job/norton-rose-fulbright-ai-engineer","title":"AI Engineer","company":{"id":1756075,"name":"Norton Rose Fulbright","domain":"nortonrosefulbright.com","url":"https://alion.io/company/nortonrosefulbright-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":76,"open_postings":39,"ghost_share":0,"stale_share":0.974,"repost_share":0,"time_to_fill_p50_days":28,"computed_at":"2026-10-24T06:02:35Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"FastAPI","optional":false},{"name":"Flask","optional":false},{"name":"Function Calling","optional":false},{"name":"Git","optional":false},{"name":"JavaScript","optional":false},{"name":"LLM","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"Next.js","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"Structured Outputs","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-09-18T00:00:00Z","employer_posted_date":"2026-09-18","last_verified_at":"2026-10-24T14:38:29Z","board_verified":true,"closed_at":null,"days_open":36,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":36},"description":"Practice Group / Department:\nLegal Innovation, Design & Technology - LondonJob Description\nNorton 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.\nOur 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.\nWith 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.\nBecause while individuals can do well, together we achieve something extraordinary.\nRole Purpose\nWe 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.\nThe AI Engineer will build end-to-end AI capabilities for R&D products: agentic workflows, retrieval and context, agent and evaluation harnesses, and the user-facing features around them. Working with the Head of R&D, you will translate agreed product and technical designs into secure, observable and maintainable products.\nThis is a hands-on full-stack AI engineering role, with applied AI product delivery at its core. You will build AI workflows, tools and integrations, evaluation and observability capabilities, together with the APIs, services and user interfaces needed to ship them reliably.\nThis is not a research-only role. You will apply agreed enterprise architecture, security and deployment patterns, while taking practical responsibility for code quality, testing, monitoring and troubleshooting with product, data, technology and security teams.\nYou will join a small, hands-on multidisciplinary team. Each team member will workcollaboratively across discovery, prototyping, engineering, productionisation and continuous improvement.\nKey Responsibilities\nBuild complete AI-enabled product features across user interface, backend, AI orchestration, retrieval and approved enterprise integrations.\n\nDesign and build agentic AI workflows using structured outputs, tool calling, workflow orchestration, document processing, human-review steps and appropriate controls.\n\nBuild reusable agent harnesses: practical runtime patterns around tools, state, context, approvals, traces and test fixtures that make agents consistent, inspectable and safe to use.\n\nBuild grounded retrieval and context patterns using approved data products, search indexes, document repositories and permission-aware sources; provide evidence and citations where appropriate.\n\nDesign 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.\n\nManage prompts, model configuration, tool schemas and routing as tested product assets, including fallbacks and cost/latency trade-offs.\n\nImplement AI observability through traces, logs, metrics and evaluation results, so quality, reliability, failure modes, latency and cost are visible and can be improved.\n\nBuild clear APIs and integrate AI products with approved data, document, search and business systems.\n\nBuild usable interfaces that help users understand AI output, inspect supporting evidence, provide feedback and complete review or approval steps.\n\nWrite maintainable Python and TypeScript code; use Docker, Git, automated testing and CI/CD to make development, testing and deployment repeatable.\n\nApply agreed security, authentication, data-handling, deployment and release patterns, working with the relevant firm technology teams where needed\n\nInitial Focus\nEnd-to-end agentic AI features and reusable harnesses for Radar and other named R&D products.\n\nA practical evaluation and test capability that lets the team compare prompts, models, tools and retrieval approaches before and after release.\n\nGrounded AI workflows that combine firm data, documents, market or regulatory information and user context into useful, attributable outputs.\n\nInterfaces that make AI output, confidence, evidence, controls and next actions clear to lawyers and business users.\n\nWhat Success Looks Like\nR&D products use AI workflows that are grounded in trusted context, observable in operation and understandable to users.\n\nAI quality is measured rather than assumed; evaluation results, traces and feedback lead to demonstrable improvements in usefulness, reliability, latency and cost.\n\nThe engineer can independently take a well-scoped AI workflow from problem definition to controlled deployment.\n\nAt least one AI component, harness or evaluation capability is reused by a second R&D product or workflow.\n\nPromising prototypes have a repeatable path to controlled release, monitoring and improvement.\n\nEssential Skills and Experience\nAt least three years’ professional experience delivering production AI products, with demonstrable recent experience building AI-enabled products or workflows in a SaaS environment. Experience in legal technology or a law firm is not required, butwould be advantageous.\n\nStrong 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.\n\nDemonstrable experience building AI-enabled products or workflows using LLM APIs, structured outputs, retrieval and embeddings, tool calling, agents or workflow orchestration.\n\nExperience building agentic systems using an agent framework or custom orchestration patterns, including tools, state/context management and human-review or approval controls.\n\nExperience evaluating AI workflows using representative test sets, scenario design, model or prompt experiments, trace review, user feedback, and automated or human grading.\n\nExperience taking AI features from prototype into controlled production, including testing, monitoring, troubleshooting and ongoing improvement.\n\nExperience with AI observability, tracing and evaluation tooling.\n\nStrong understanding of grounded retrieval, context quality, evidence/citations and the ways in which AI systems fail.\n\nExperience designing APIs and integrating with enterprise systems; sound handling of authentication, authorisation, secrets and sensitive data.\n\nComfort with Docker, Git, automated testing and CI/CD. You do not need to be a dedicated platform engineer, but should be able to ship maintainable, repeatable work.\n\nStrong debugging and systems-thinking skills, including the ability to diagnose failures across models, prompts, tools, retrieval and integrations.\n\nAble to explain AI behaviour, evaluation results and technical trade-offs clearly to technical and non-technical colleagues.\n\nDiversity, Equity and Inclusion\nTo attract the best people, we strive to create a diverse and inclusive environment where everyone can bring their whole selves to work, have a sense of belonging, and realize their full career potential. \nOur new enabled work model allows our people to have more flexibility in the way they choose to work from both the office and a remote location, while continuing to deliver the highest standards of service. We offer a range of family friendly and inclusive employment policies and provide access to programmes and services aimed at nurturing our people’s health and overall wellbeing. Find more about Diversity, Equity and Inclusion here.\nWe 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.","description_format":"text","description_chars":8320,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Legal Services"],"lifecycle":[{"event":"open","at":"2026-09-27T13:53:14Z"}],"visa":[{"country":"GB","licensed_sponsor":true,"evidence":"Licensed UK visa sponsor (Graduate Trainee, Senior or Specialist Worker, Skilled Worker)","filings_12m":null,"filings_prev_12m":null,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Global Business Mobility: Graduate Trainee; Global Business Mobility: Senior or Specialist Worker; Skilled Worker","cap_exempt":false,"checked_at":"2026-10-24T06:24:00+00:00","sources":["UK Home Office: register of licensed sponsors (workers)"],"filings_for_role_12m":0}],"liveness":{"score":23,"band":"cold","label":"Long shot","p_open":0.9,"p_active":0.469,"p_room":0.55,"age_days":36,"expected_fill_days":28,"reasons":["conf:70","stale_co","win:tail","comp:brand"],"computed_at":"2026-10-24T06:02:35Z"},"pay":null,"html_url":"https://alion.io/job/norton-rose-fulbright-ai-engineer","json_url":"https://alion.io/job/norton-rose-fulbright-ai-engineer.json","meta":{"generated_at":"2026-10-24T21:40:50Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":31864,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-25T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1756075},"rest":"https://alion.io/mcp/rest/get_company?id=1756075"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnorton-rose-fulbright-ai-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fnorton-rose-fulbright-ai-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fnorton-rose-fulbright-ai-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/norton-rose-fulbright-ai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnorton-rose-fulbright-ai-engineer"}]}