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.

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.

Company Culture Epiq Leadership Compass Fosters Relationships & Collaboration Builds trust-based partnerships Nurture long-term relationships Remove collaboration barriers Celebrate cross-team success Engages & Influences Inspires action and alignment through clear communication, purposeful influence, and a compelling vision Use storytelling to build buy-in Align communication with organizational goals Guild alignment through strong engagement Maximizes Performance Sets and reinforces performance standards that drive results, ensure accountability, and align with Epiq's goals Use data to identify improvement opportunities Make informed decisions Align team goals with boarder strategy Empower teams to manage their own goals Translate vision into clear priorities Prepare for disruptions with strong change management Achieves Operational Success Drives continuous improvement and operational excellence through smart processes, data insights, and quality execution Improve workflows for team efficiency Use clear documentation and expectations Resolve issues quickly using data and feedback It is Epiq's policy 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. Epiq's policy prohibits unlawful discrimination based on any of these impermissible bases, as well as any bases or grounds protected by applicable law in each jurisdiction. In addition Epiq will take affirmative action for minorities, women, covered veterans and individuals with disabilities. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. Epiq is pleased to provide such assistance and no applicant will be penalized as a result of such a request.

Job Summary 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.

Why This Role Matters 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. A button is not just a button. A search result is not just a card. An AI answer is not just text on a page. In legal AI, every interaction has to support trust, explainability, security and adoption. That is why we need Product Engineers: people who are fluent in engineering, fluent in product thinking, and willing to understand the domain deeply enough to build the right thing.

About the Team 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, Microsoft365, Azure AI Search, Azure OpenAI and internal knowledge platforms. The team already has experience delivering AI search and workflow capabilities for a Magic Circle law firm and a global multinational law firm, including natural language search, agents and Azure based retrieval solutions built in partnership with Microsoft. As the market shifts from AI adoption to AI ownership, our team is becoming more like a Forward Deployment Engineering function: technical people who work close to strategic clients, understand their workflows, and build real solutions that move from prototype to production.

The Role 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 will work with AI engineers, retrieval architects, Azure engineers, legal knowledge experts and client stakeholders to turn complex technical capabilities into clear, usable products.

What You Will Build 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. The common thread is that you will be building the experience layer that makes AI usable, explainable and trusted.

Key Responsibilities

• Build high quality React and TypeScript applications. You will build modern front end applications using React, TypeScript and strong component design. You will care about performance, accessibility, responsiveness, error handling, loading states, empty states, maintainability and the overall quality of the user experience. You will work with APIs, authentication, permissions, search services, AI responses, document metadata and workflow actions.
• Shape the product, not just the code. You will help define how legal AI experiences should work. This means challenging unclear requirements, simplifying complex workflows, proposing better interaction patterns and making sure the team is building something users will actually adopt. You will not just wait for a perfect specification. You will help create it.
• Understand the lawyer workflow. You will work close to legal users and client teams to understand how lawyers search for knowledge, review documents, validate answers and move through their work. The goal is to build AI into workflows lawyers already understand, rather than sending them to another disconnected tool.
• Turn AI retrieval into trusted UX. You will design interfaces that make retrieval transparent. This includes citations, source previews, metadata, snippets, filters, document cards, confidence signals, feedback mechanisms and audit friendly interaction patterns. In legal AI, the user needs to understand where an answer came from and why it should be trusted.
• Work across the system. Although this is mainly a React and TypeScript role, you will need to understand how your UI fits into the wider system. That may include Azure AI Search, Azure OpenAI, retrieval APIs, MCP style tool access, document processing pipelines, security trimming, Microsoft Graph, SharePoint, iManage or other enterprise systems. You do not need to own every layer, but you should understand how the layers connect.
• Use AI as part of your engineering workflow. We expect Product Engineers to use AI effectively in their own work . click apply for full job details