Revax

About the Company

Revax uses a custom retrieval pipeline to help advisors research and draft client deliverables using in-house knowledge, faster than ever before. If you would like to see schedule a demo, please get in touch. Proudly supported by the King's Trust and the University of Cambridge's accelerator programme: https://www.jbs.cam.ac.uk/ventures/revax/

Listed Jobs

Company Name

Revax

Job Title

Full-Stack Engineer Intern (AI Product) – London: £30k, 3-month initial contract

Job Description

**Job Title** Full‑Stack Engineer Intern (AI Product) **Role Summary** Design, build, and ship AI‑enabled drafting and review interfaces and backend services for an advisory‑firm platform. Collaborate with founders to define product scope, API contracts, and user experience while ensuring fast delivery and production readiness. **Expectations** - Own the end‑to‑end development of core features from specification to deployment. - Deliver production‑grade code that is well‑tested, documented, and maintains high reliability. - Rapidly prototype and iterate on user interfaces and AI pipelines. - Maintain clean architecture and solid engineering practices in a high‑ownership environment. **Key Responsibilities** - Build responsive UI components using Next.js, React, and TypeScript for drafting and review workflows. - Develop, scale, and deploy Python‑based microservices with FastAPI and LangGraph for multi‑agent Retrieval‑Augmented Generation pipelines. - Implement knowledge‑graph‑driven search and retrieval using vector databases and Neo4j. - Operate services on GCP (Cloud Run, GKE) and integrate with Supabase or self‑hosted databases. - Manage Docker containers, CI/CD pipelines (GitHub Actions), and deployment automation. - Collaborate with founders and design teams to iterate on specs, APIs, and UI/UX. - Contribute to system architecture, documentation, and internal engineering culture. **Required Skills** - Proficiency in Next.js, React, and TypeScript for frontend development. - Strong Python backend development skills; experience with FastAPI. - Solid understanding of API design, microservice architecture, and cloud deployment. - Familiarity with LangGraph, agentic systems, and RAG concepts. - Experience with vector search (e.g., Pinecone, Weaviate) and knowledge graphs (Neo4j). - Knowledge of Docker, CI/CD, Git, and cloud platforms (GCP preferred). - Ability to write unit/integration tests and adopt best coding practices. - Proactive, self‑driven mindset with ownership focus and fast delivery. **Required Education & Certifications** - Undergraduate degree in Computer Science or related field from a recognized institution. - (No additional certifications required.)

London, United kingdom

On site

Fresher

27-11-2025