Pear-VC - Full Stack Engineer
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 • 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
Benefits
• 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
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