You will join a high-growth legal tech firm as an early engineer, architecting agentic systems that transform litigation for Magic Circle law firms. Working directly with Oxbridge-educated founders, you will build full-stack document analysis engines and scale infrastructure that has already achieved 20x revenue growth and $3M ARR trajectory.
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Full Stack Engineer at WEXLER AI LTD
Join an explosive legal tech startup that has grown 20x in the last year and is on track to hit $3M ARR. Backed by Tier 1 investors like Pear VC and Seedcamp, this Oxbridge-founded team is building the premier agentic AI platform for the world’s most elite law firms including Clifford Chance and Goodwin. As an early Full Stack Engineer, you'll work across Node.js, Python, and AI services to architect systems that uncover winning facts in complex litigation. This is a rare chance to take massive ownership, earn significant equity, and build at the bleeding edge of agentic engineering alongside ex-Tractable and Poly AI talent in Central London.
About this role
Role overview
About the company
WEXLER AI LTD
Legal Tech / AI15 employees
wexler.ai (WEXLER AI LTD) is a UK-based legal technology company that builds an AI-powered “fact intelligence” platform for complex litigation and dispute resolution. Its software ingests and analyses large volumes of case material—such as pleadings, witness statements, disclosure, and other documents—to identify, structure, and verify key factual information. The platform provides advanced workflows for eDiscovery, document review, and fact management, including automatic extraction of facts from documents, assessment of their significance, and organisation into structured chronologies and tables. Lawyers can use Wexler to run targeted natural language searches across case materials, build dramatis personae, surface inconsistencies, and generate reports and other work product. Wexler Real-Time, the company’s real-time legal fact-checking feature, allows users to validate assertions against the underlying evidential record as they draft or review documents. The system is designed to reduce manual review time, improve accuracy, and help litigation teams at leading law firms and corporate legal departments identify the “winning” information that can change the trajectory of a case.
What you'll do
What you will do
- Architect and scale production-grade full-stack applications that power autonomous agentic systems for complex legal document analysis.
- Collaborate with ML engineers to integrate state-of-the-art LLM capabilities and fact extraction engines into customer-facing features.
- Own the end-to-end lifecycle of critical product features, from initial customer discovery and technical architecture to deployment on AWS infrastructure.
Who you are
Who this is a fit for
- Proven expertise in the modern stack including Node.js, TypeScript, and Python for both application and AI system development.
- Deep experience with PostgreSQL database optimization and managing scalable cloud infrastructure within the AWS ecosystem.
- An entrepreneurial builder mindset with a track record of shipping complex product features in rapid, high-stakes startup environments.
Why this role
Why this role is remarkable
- Work at the forefront of agentic engineering, building a "scalpel" AI platform that replaces months of manual work for the world's top 1% of litigators.
- Join a Tier 1 Silicon Valley-backed startup (Pear VC, Seedcamp) that has scaled from $500k to $3M ARR in just two months with 20x YoY growth.
- Collaborate with a high-caliber technical team from Poly AI, Tractable, and Juro in a low-ego, fast-paced environment with a clear path to leadership.
Jack & Jill
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
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