Senior Consultant, Product Engineer

At Epiq, your work contributes to complex, global legal outcomes. You’ll join a values‑driven community where integrity guides decisions, relentless service sets the bar, and we thrive on big challenges together. We invest in your growth with enterprise‑wide learning and mobility. We celebrate who you are, and we respect life beyond work with flexibility that’s recognized externally. Enabled by modern platforms and AI, you’ll do the most meaningful work of your career and see your impact at scale.

We are looking for a Product Engineer to join our AI Search and Retrieval Context Engineering as we build the next generation of legal AI experiences for law firms. This is not a traditional front‑end developer role where requirements are handed over and built from a specification. It is a hands‐on product engineering role for someone who can understand the problem, shape the user experience, think through the system design and then build high‑quality software.

The role is primarily focused on React, TypeScript and modern user experience development, but the expectation is broader than UI delivery. You will work close to lawyers, knowledge teams, innovation teams and technical stakeholders to understand how AI search, retrieval and agents should fit into real legal workflows. We are not building another disconnected AI chatbot. We are building trusted AI experiences that sit on top of the firm’s own documents, knowledge, matters, metadata and workflows. As a Product Engineer, you will help turn complex AI retrieval capability into simple, useful and trusted experiences for lawyers.

AI is changing software engineering. The value of an engineer is no longer only in writing code quickly. AI can now help generate code, tests and components at speed. That makes the human part of engineering more important, not less. The best engineers are now the ones who understand the system, the user, the constraints and the business problem. For this team, that means understanding why a lawyer is searching, what they need to trust an answer, what happens if the wrong document is surfaced, how permissions work, how citations should be displayed, and how the experience fits into their daily workflow.

The Search & AI team helps law firms build secure, firm‑specific AI capabilities on top of their existing document, knowledge and matter infrastructure. We work with firms that want to move beyond standalone AI tools and create a trusted AI layer inside their own environment. Our solutions typically connect to systems such as iManage, SharePoint, NetDocuments, Microsoft 365, Azure AI Search, Azure OpenAI and internal knowledge platforms.

You will design and build the product experience layer for legal AI. That includes search interfaces, AI answer experiences, document previews, citation views, agent workflows, feedback loops, dashboards, admin screens and embedded components for tools lawyers already use. You will mainly work in React and TypeScript, building polished, enterprise‑grade applications that are fast, accessible, secure and suitable for professional legal users.

You may build a natural language search experience that allows lawyers to ask questions across a firm’s knowledge bank and receive grounded answers with citations. You may create a source preview panel that lets a lawyer inspect the exact document behind an AI answer before relying on it. You may design an agent workflow where a lawyer can run a research task, review retrieved documents, refine the question, compare outputs and export the result. You may build dashboards that show search quality, adoption, answer confidence, feedback trends and retrieval performance. You may create embedded components for SharePoint, Teams, Word, Outlook or a firm intranet, so AI appears inside the workflow rather than as another destination.

Key Responsibilities:

• Build high‑quality React and TypeScript applications.
• Shape the product, not just the code.
• Understand the lawyer workflow.
• Turn AI retrieval into trusted UX.
• Work across the system.
• Use AI as part of your engineering workflow.

Required Skills:

• Strong hands‑on experience with React and TypeScript.
• Comfortable building component‑based applications, working with APIs, handling complex state and delivering polished enterprise user interfaces.
• Experience with Next.js would be useful, but is not essential.
• Understanding of modern front‑end development practices.
• Experience with some of the following would be valuable: React Query, Zustand, Redux, Tailwind, Fluent UI, Material UI, Vite, Next.js, Storybook, Playwright, Jest, Azure Static Web Apps, Azure App Service or Microsoft Graph.

Product Engineering Mindset:

• Think beyond tickets.
• Comfortable working in ambiguity.
• Care about systems.
• Care about product quality.

AI and Search Awareness:

• Interest in concepts such as retrieval‑augmented generation, semantic search, vector search, hybrid search, document chunking, citations, source grounding, prompt workflows and agentic interfaces.

Desirable Experience:

• Experience in legal technology, enterprise search, document management systems, knowledge management, Microsoft 365, SharePoint, iManage, NetDocuments, Azure AI Search, Azure OpenAI, Microsoft Graph, Power Platform, SaaS products, internal tools, workflow platforms or professional services.
• Experience building search interfaces, AI interfaces, dashboards, document review tools, knowledge portals or workflow applications.

What Success Looks Like:

• Building AI products that lawyers actually use.
• A successful search experience will help a lawyer find the right precedent, legal opinion or knowledge document quickly and confidently.
• A successful answer experience will make the source material visible, citeable and easy to inspect.
• A successful agent workflow will guide the user through a complex task without hiding important decisions.
• A successful product will feel simple on the surface, even though the system underneath is complex.

Ideal Candidate:

• A strong React TypeScript developer who wants to operate more like a Product Engineer.
• Hands‑on, technical and comfortable building production software.
• Curious about AI, but grounded enough to know that adoption depends on usability, trust and workflow fit.

Why Join This Team:

• Help build the product experiences that make legal AI real for lawyers.
• Less time spent simply turning specs into code, and more time spent understanding the problem, shaping the system and building the right product.

Experience:

• Minimum of 7 years of experience in consulting or a related field.

Skills:

• Analytical Analysis
• Business Development
• Business Intelligence (BI)
• Business Solutions Development
• Client Relationship Building
• Customer Relationship Management (CRM)
• Detail‑Oriented
• Document Management
• Kaizen (Continuous Improvement)
• Legal Practices
• Legal Project Management
• Legal Writing
• Professional Collaboration
• Quality Assurance (QA)
• Statistics

Certifications:

• None required. Preferred: Certified Management Consultant (CMC) or equivalent certification.

Physical Requirements:

• Ability to work in an office environment and perform tasks that may require sitting, standing, and using office equipment.

We require all persons hired to verify identity and eligibility to work in the United Kingdom and to complete the required security checks as part of the offer process. The successful individual must be authorised to work in the United Kingdom for any employer and must all be a current resident in the United Kingdom.

Your specific salary will be determined based on several factors: Location-based market rate for the role, your abilities in relation to the job specification, performance during screening and interview, pay parity with the wider team in the considered location.

Further details about the package will be provided during the initial screening call with the Talent Acquisition Team.

Epiq’s policy is to comply with all applicable equal employment opportunity laws by making all employment decisions without unlawful regard or consideration of any individual’s race, religion, ethnicity, color, sex, sexual orientation, gender identity or expressions, transgender status, sexual and other reproductive health decisions, marital status, age, national origin, genetic information, ancestry, citizenship, physical or mental disability, veteran or family status or any other basis protected by applicable national, federal, state, provincial or local law.