At a Glance
- Tasks: Design and build cutting-edge AI systems for legal professionals, transforming the litigation landscape.
- Company: Join Wexler, a rapidly growing legal AI company based in London.
- Benefits: Competitive salary, meaningful equity, learning budget, and bi-annual team retreats.
- Other info: Work in a dynamic startup environment with ambitious builders and evolving challenges.
- Why this job: Shape the future of legal work with innovative AI technology and make a real impact.
- Qualifications: Expert-level Python skills and experience with LLM systems and NLP fundamentals.
The predicted salary is between 63000 - 77000 £ per year.
About Wexler
Wexler is building the best AI system for litigation on the planet. We work with some of the world’s largest law firms, helping them to solve their most complex cases, find the winning strategy in each matter, and create clarity from the chaos of documents and facts in each case. We are a rapidly growing, legal AI company based in London. Clifford Chance, HSFKramer, Goodwin, Addleshaw Goddard and more rely on us to help find the critical facts that can determine their chances of winning a case. We’re backed with a $5.3M Seed by Pear VC, Seedcamp, The LegalTechFund + many leading industry angels. We are building a comprehensive AI platform for managing, resolving and preventing legal disputes across Enterprise law firms and Fortune500 companies. We are growing 10x YoY and signing more eminent firms every month. Our system extracts objective, cross-referenced facts from millions of documents, helping litigators win more cases whilst saving months of working hours. In this way we ensure every client gets the representation they deserve. AI is transforming the law, but most tools have focused on contract law or are generalist copilots that aggregate the tasks lawyers do across practices. Wexler is the leading gen-AI platform specifically built for the nuances of litigation, and our growth proves the story is resonating.
About the Role
We are looking for an exceptional AI engineer to shape the future of legal work. We are building agentic systems that analyse millions of documents to extract the critical factual information that wins legal battles. As a core member of the team, you will have direct oversight of the AI strategy, manipulating the most powerful technology in software to solve real problems faced by some of the world’s most expert litigators.
Responsibilities
- Design, build and refine production-grade LLM agents and proprietary algorithms for expert litigators.
- Lead development of robust evaluation frameworks and pipelines, establishing metrics and benchmarking models on large datasets to steer R&D.
- Drive advanced prompt-engineering practice to maximise model efficacy.
- Apply core NLP fundamentals (tokenisation, embeddings, model architecture) while keeping outputs structured, performant and cost-efficient.
- Own clean, modular Python back-end code for data-intensive systems, balancing real-world constraints such as token limits, cost and latency.
Technical Must-Haves
- Expert-level Python with a track record of shipping production LLM systems.
- Hands-on experience designing LLM agents and RAG pipelines.
- Proficiency with AI evaluation frameworks and end-to-end evaluation pipelines.
- Solid grounding in NLP fundamentals (tokenisation, embeddings, bias handling).
- Ability to juggle token limits, cost and latency while delivering structured outputs.
You will be:
- A builder. You might spend your weekends at hackathons or playing around with DeepSeek. You love working with LLMs to crystallise new ideas and make them reality.
- Excited to work in our office in London. We work from the WeWork in Aldwych, and we spend 4 days a week in person.
- Excited to work with a group of kind, ambitious builders solving challenging problems for enterprise clients.
- Fascinated with AI and LLMs. You want to understand how they are made, what you can do with them, and where they are going.
- Ready to work in a fast-paced startup environment with evolving requirements and priorities.
What We Offer
- Competitive salary and meaningful early-stage equity (£70-90K).
- Huge autonomy and ownership. You will be designing and realising AI systems for some of the most expert users in AI.
- Budget for learning and professional growth.
- Bi-annual team retreats.
About the opportunity: Legal AI has caught the attention of VCs and the wider tech world, but the reality is adoption with users is low in the enterprise, with roughly 20% of lawyers using AI tech. Of those lawyers, most are transactional or contract lawyers and they use generalist platforms that look to aggregate the tasks lawyers do but do not go deep into specific workflows. That’s where Wexler is different. We are a ‘scalpel’ rather than a ‘Swiss Army knife’, meaning we go deep into the workflows that can decide how a legal case is won. We have extremely positive feedback from lawyers, and we have an ambitious roadmap of features to expand our coverage while retaining the forensic detail that makes our product great.
Lastly, if you think you don’t quite fit the bill but you’d still be interested in chatting for a different role, get in touch at careers@wexler.ai.
AI Engineer - Wexler employer: Wexler
As a leading legal tech firm in London, we pride ourselves on fostering a dynamic work culture that encourages innovation and collaboration. Our commitment to employee growth is reflected in our competitive salary packages, early-stage equity options, and a supportive environment where your passion for AI can thrive. Join us to be part of a transformative journey in the legal industry, where your contributions will make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer - Wexler
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Wexler or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Wexler.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Wexler.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Wexler that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI Engineer - Wexler
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Wexler.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Wexler and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Wexler
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Wexler uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
