At a Glance
- Tasks: Architect and build innovative AI systems for document analysis in a fast-paced startup.
- Company: Join Wexler, a rapidly growing legal AI company transforming litigation with cutting-edge technology.
- Benefits: Enjoy competitive salary, equity, autonomy, and opportunities for professional growth.
- Other info: Work in a dynamic environment with a clear path to leadership and exciting team retreats.
- Why this job: Make a real impact in the legal field while working with top-tier AI experts.
- Qualifications: Strong experience in Node.js, TypeScript, Python, and cloud services; full-stack development skills required.
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’re seeking an entrepreneurial full-stack engineer who will work closely with the founders to architect, build and scale Wexler's agentic systems for document analysis, powered by our state-of-art fact extraction engine. As a Software Engineer, you will work closely with the founding technical team and contribute to the technical architecture of our product and delivery of our ambitious product roadmap. You’ll play a key role in shaping the culture of our Technical organisation and will learn alongside expert Software and Machine Learning Engineers. You will rapidly take on more responsibility and have a clear path to a leadership position.
Please note we have two open positions for this role.
Responsibilities:
- Architect, build and scale full-stack applications that power Wexler's agentic systems for document analysis
- Develop customer-facing features, internal tooling and DevOps infrastructure to support our growing platform
- Collaborate with AI engineers to integrate LLM capabilities into production-ready software systems
- Build robust, scalable backend systems using modern technologies and cloud infrastructure
- Create intuitive user interfaces that allow legal professionals to interact seamlessly with AI-powered tools
- Contribute to technical architecture decisions and help establish engineering best practices
- Work directly with customers to understand their needs and rapidly iterate on solutions
Technical Must-Haves:
- Strong experience with Node.js and TypeScript for backend development
- Strong Python experience for AI system development
- Proficiency with PostgreSQL for database design and optimisation
- Hands-on experience with AWS cloud services and infrastructure
- Full-stack development experience with modern frontend frameworks
- Experience building scalable, production-grade systems
- Understanding of DevOps practices and CI/CD pipelines
You will be:
- A builder with a track record of shipping new product features or architectures in a fast-paced environment
- Driven by building fantastic product experiences - you can put yourself in the users' shoes and understand their struggles
- Fascinated by AI and excited to build products at the bleeding edge of this once in a lifetime platform shift (but you don't need to have any prior AI experience)
- Full-stack and happy to get stuck in where needed most, be it working on customer-facing features, internal tooling or improving our DevOps
- Excited to work in a startup environment. You're excited by the idea of speaking with customers in the morning and shipping features to solve their problems in the afternoon. You're ok with priorities changing and you're comfortable with risk
- Someone who values working with people who are low ego, ambitious and pragmatic
- Comfortable figuring out how to build things you haven't built before
- Excited to work in-person from our office in London. We work from the WeWork in Aldwych, and we spend 4 days a week in person
What We Offer:
- Competitive salary and significant equity
- Huge autonomy and ownership. You will be designing and building the core systems that power AI for some of the most expert users in AI
- Budget for learning and professional growth
- Bi-annual team retreats
- Work closely with experienced founders and a team of AI scientists and engineers
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.
Some topics you'll think about:
- Delightful “agentic” product experiences: Legal AI has largely revolved around AI assistants. We are building workflows that solve specific tasks for expert users. You will be obsessed with defining and building these features.
- Scale: architecting systems that scale with our commercial growth, delivering each user a delightful, performant and magical experience.
- Security: our customers treat their clients with the highest degree of sensitivity and security. The software we build meets the highest standards of security, ever evolving in the world of AI.
Software Engineer - Wexler employer: Praxis, Inc.
Wexler is an exceptional employer for those looking to make a significant impact in the legal tech space. Based in London, we offer a dynamic work culture that fosters collaboration and innovation, providing employees with the autonomy to shape their roles while working alongside top-tier law firms. With competitive salaries, equity opportunities, and a strong focus on professional growth, Wexler is dedicated to empowering its team members to thrive in a rapidly evolving industry.
StudySmarter Expert Advice🤫
We think this is how you could land Software 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 Praxis, Inc. 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 Praxis, Inc..
✨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 Praxis, Inc..
✨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 Praxis, Inc. 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 Software 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 Praxis, Inc..
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Praxis, Inc. 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 Praxis, Inc.
✨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 Praxis, Inc. 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.
