At a Glance
- Tasks: Build and develop innovative software solutions with expert engineers.
- Company: Join Wexler, a pioneering legal AI company transforming the industry.
- Benefits: Gain real ownership, mentorship, and a clear path to full-time roles.
- Other info: Dynamic startup environment with fast-paced projects and collaborative culture.
- Why this job: Make a direct impact on cutting-edge AI products used by expert lawyers.
- Qualifications: 2026 graduate or strong second-year student in Computer Science or related field.
The predicted salary is between 20000 - 30000 ÂŁ per year.
Weâre seeking an exceptional engineering intern to join Wexler and work directly alongside our expert Software and Machine Learning Engineers. This is a hands-on role, where you will contribute to the agent infrastructure of our product, push the product forward through blue sky projects, and have a direct impact on a product that expert lawyers use every day. We are ideally seeking 2026 graduates (or strong second-year students) from top UK universities in Computer Science or a closely related discipline. If you are obsessed with building things, intellectually curious, and excited by the frontier of applied AI, weâd love to meet you.
About Wexler: 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. Thatâs where Wexler is different. We are a âscalpelâ rather than a âSwiss Army knifeâ, meaning we go deep into the workflows that can decide how a legal case is won. We have had 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.
Responsibilities:
- Build and develop our agentic infrastructure.
- Partner with the technical team to ideate, develop, and execute innovative, forward-looking (âblue skyâ) initiatives that enhance and evolve the Wexler product.
- Contribute to customer-facing interfaces that allow legal professionals to interact seamlessly with the product.
- Work alongside AI engineers to integrate LLM capabilities into production systems.
- Participate in technical architecture discussions and learn engineering best practices from a strong founding team.
- Think about the problems that matter most: delightful agentic experiences, performance at scale, and enterprise-grade security.
Technical skills:
- Back-end: Proficiency in Node.js / TypeScript or Python â ideally both. Comfort writing clean, testable server-side code.
- Databases: Familiarity with relational databases (PostgreSQL preferred). Understanding of schema design and querying.
- Front-end: Exposure to a modern JS framework (React is our stack). Able to translate product ideas into clean UI.
- Cloud & DevOps: Any experience with AWS, CI/CD pipelines or containerisation is a bonus â not a requirement.
- AI / ML: No prior AI experience is required. Curiosity about LLMs and how they work is all we ask.
You will be:
- A 2026 graduate (or strong 2nd-year) from a top UK university, studying Computer Science, Engineering, Mathematics, or a closely related field.
- A builder â you have personal projects, hackathon experience, or open-source work that demonstrates you love creating things.
- Intellectually curious and excited by the once-in-a-generation platform shift happening in AI.
- Full-stack and comfortable getting stuck in wherever needed, be it a customer-facing feature, an internal tool or a performance fix.
- Energised by a startup environment: priorities move fast, customers are close, and your work ships the same week itâs written.
- Someone who values working with people who are low ego, ambitious and pragmatic.
- Comfortable figuring out how to build things you havenât built before, and asking smart questions when you need to.
- Based in (or willing to relocate to) London for the internship. We work 4 days a week in person from our WeWork in Aldwych.
What We Offer:
- Real ownership: You will be designing and building the core systems that power AI for some of the most expert users in AI.
- Mentorship from experienced software and machine learning engineers, including direct access to the founders.
- A clear path to a full-time Software Engineer role for outstanding interns.
Software Engineering Intern employer: Pear VC
Contact Detail:
Pear VC Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Software Engineering Intern
â¨Tip Number 1
Network like a pro! Reach out to current or former interns at Wexler on LinkedIn. Ask them about their experiences and any tips they might have. This can give you insider knowledge and help you stand out.
â¨Tip Number 2
Show off your projects! When you get the chance, talk about your personal projects or hackathon experiences during interviews. Itâs a great way to demonstrate your passion for building things and your technical skills.
â¨Tip Number 3
Prepare for technical discussions! Brush up on your coding skills in Node.js, TypeScript, or Python. Be ready to discuss how you would approach building features or solving problems related to the role.
â¨Tip Number 4
Apply through our website! Itâs the best way to ensure your application gets seen by the right people. Plus, it shows youâre genuinely interested in joining the Wexler team.
We think you need these skills to ace Software Engineering Intern
Some tips for your application đŤĄ
Show Your Passion: When writing your application, let your enthusiasm for software engineering and AI shine through. We want to see that youâre not just ticking boxes but genuinely excited about building things and contributing to innovative projects.
Tailor Your CV: Make sure your CV is tailored to the role. Highlight relevant skills like Node.js, TypeScript, or Python, and any personal projects or hackathon experiences. We love seeing what you've built, so donât hold back!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why youâre the perfect fit for Wexler. Share your thoughts on the future of AI in law and how you can contribute to our mission. Keep it engaging and personal!
Apply Through Our Website: We encourage you to apply directly through our website. Itâs the best way to ensure your application gets into the right hands. Plus, it shows us youâre proactive and keen to join our team!
How to prepare for a job interview at Pear VC
â¨Know Your Tech Stack
Make sure youâre familiar with Node.js, TypeScript, and Python, as well as relational databases like PostgreSQL. Brush up on your knowledge of modern JS frameworks, especially React, since theyâre looking for someone who can translate product ideas into clean UI.
â¨Show Off Your Projects
Bring along examples of your personal projects, hackathon experiences, or any open-source work. This is your chance to demonstrate your passion for building things and your hands-on experience in software engineering.
â¨Ask Smart Questions
Prepare thoughtful questions about Wexlerâs products and their approach to AI. This shows your intellectual curiosity and eagerness to learn, which are key traits theyâre looking for in a candidate.
â¨Embrace the Startup Vibe
Be ready to discuss how you thrive in fast-paced environments. Share experiences where you adapted quickly to changing priorities or collaborated closely with others, as this aligns with the startup culture at Wexler.