Product Engineer

Ai Wordsmith — United Kingdom · Posted ~1 day ago

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Summary

Join a fast-growing legal technology company as a Product Engineer and help build modern software that combines AI-driven automation with human oversight. You will have the opportunity to work on impactful products addressing complex operational workflows and contribute to a rapidly evolving technology environment.

Highlights

Opportunity to help shape an ambitious AI-focused legal technology platform and work on products used by a broad range of organizations.

Description

Edinburgh Wordsmith Wordsmith is building the legal operations platform for in-house teams, and we are growing fast. We believe in-house legal is becoming one of the most important functions in the AI era. Every business is moving faster, but legal work is still too often scattered across inboxes, chats, documents, and disconnected systems. Wordsmith brings that work into one system. Requests come in from across the business, AI agents handle the routine, lawyers stay in control where judgment matters, and every step is captured as work happens. We are built for in-house legal, not law firms. Our goal is to help legal teams move faster, reduce unnecessary external counsel spend, and become a function the business can run with. More than 500 companies, including Financial Times, Safelite, Trip.com, Canva, Starling, and Sage, use Wordsmith. Backed by $100M from Index Ventures, General Catalyst, Highland Europe, and others, we are building one of the defining companies in legal AI. Why this role is different Our engineering team is not using AI as a feature. It’s how we build. Engineers here are expected to explore, test, and apply AI directly in how we design and ship product. There’s no heavy process, no layers of approval, and no hesitation around new approaches. If something works, we use it. If it doesn’t, we move on quickly. You’ll have the freedom to experiment, shape how AI is used in the product, and push beyond the patterns most teams are still stuck in. The Role You’ll build product features end to end, working across frontend and backend, and ship AI-native workflows used by real customers. You’ll work closely with design, product, and legal engineers to turn complex problems into simple, high-quality user experiences. This is a role for someone who wants to move fast, stay close to users, and have a real impact on what gets built. What You’ll Do Own features end to end across frontend and backendBuild AI-native workflows using LLMs and structured dataCollaborate closely with design, product, and legal engineeringShip quickly, learn from users, and iterateContribute to architecture, tooling, and engineering practicesHelp define how we use AI across the product What We’re Looking For 4+ years building high-quality web productsStrong experience with modern frontend tools (React, Next.js, TypeScript)Backend experience (Python, Node, AWS or similar)Strong product instincts — you care about UX, clarity, and outcomesComfortable working in fast-moving environments with evolving systemsInterest in AI and how it changes how software is built Bonus Experience with LLMs, prompt design, or AI workflowsBackground in building internal tools or complex workflows How We Work We’re an in-office team in Edinburgh. We work together because it helps us build faster, collaborate closely, and make better product decisions. You should expect to be in the office as your default. This is a high trust environment. Engineers have real ownership over what they build and how they build it. We keep process light and focus on shipping, learning, and improving quickly. What You Can Expect Real ownership over product and technical decisionsThe chance to work at the frontier of AI-native product developmentA team of engineers, designers, and domain experts working closely togetherCompetitive salary and meaningful equity Why Wordsmith We’re growing quickly, shipping fast, and solving real problems for customers. The product is evolving rapidly, and engineering plays a central role in how far and how fast we can go. If you want to build with AI as a core part of your workflow, not just a layer on top, this is a strong place to do it.