Pear-VC - Software Engineering Intern
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Requirements
• Back-end: Proficiency in Node.js / TypeScript or Python — 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 — not a requirement. • AI / ML: No prior AI experience is required. Curiosity about LLMs and how they work is all we ask.
Responsibilities
• Build and develop our agentic infrastructure • Partner with the technical team to ideate, develop, and execute innovative, forward-looking (“blue sky”) 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 • A 2026 graduate (or strong 2nd-year) from a top UK university, studying Computer Science, Engineering, Mathematics, or a closely related field • A builder — 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 it’s written • 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, 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
Benefits
• 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
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