We’re open to the right profile—whether you see yourself as a full-stack engineer, MLE or AI engineer.
We’re looking for a Full-Stack AI Engineer who can rapidly build and iterate on cutting-edge AI demos, prototypes, and production features. You’ll work across the stack, from Next.js frontends to Python backends, while developing LLM-powered applications and agentic systems that push the boundaries of what’s possible.
If you thrive in fast-moving environments, love shipping proofs-of-concept as much as you enjoy refining production systems, and can bridge user experience with advanced AI capabilities, this is your playground.
Responsibilities
Rapid Prototyping & Product Development
- Build quick, high-impact demos and POCs to explore new AI capabilities.
- Work closely with product teams to translate ideas into functional prototypes in days, not weeks.
- Develop intuitive, polished UI components and applications in Next.js and React for showcasing AI features.
LLM Applications & Agent Systems
- Design, implement, and deploy LLM-powered workflows and applications.
- Use frameworks like LangChain, LangGraph, or similar to orchestrate complex multi-step agents.
- Optimise prompt engineering, retrieval-augmented generation (RAG), and tool integration.
Full-Stack Engineering
- Build and maintain backend services (FastAPI or equivalent) to power AI features.
- Integrate AI APIs and internal ML models into scalable, secure systems.
- Manage data flows and storage relevant to LLM use cases (e.g., vector databases, embeddings).
Collaboration & Technical Leadership
- Partner with designers, product managers, and other engineers to deliver features end-to-end.
- Share best practices on AI development and frontend–backend integration.
- Stay on top of trends in AI tooling, agentic architectures, and web app development.
Qualifications
Required:
- Strong proficiency in JavaScript/TypeScript, React, and Next.js for frontend development.
- Proficiency in Python for backend API development and AI integration.
- Experience building applications with LLMs (e.g., OpenAI, Anthropic, open-source models).
- Hands-on experience with agent frameworks (LangChain, LangGraph, etc.).
- Comfortable working end-to-end—from database to backend to frontend.
- Proven ability to deliver functional prototypes quickly.
Nice to have:
- Experience with vector databases (Pinecone, Weaviate, Milvus, etc.).
- Knowledge of async programming and event-driven systems.
- Familiarity with cloud platforms (AWS, GCP, Azure) and containerisation (Docker).
- Understanding of prompt optimisation, evaluation frameworks, and AI safety considerations.
- Prior startup experience or having shipped projects under tight timelines.
Application process
- Screening call
- Take home case study and present to the team
- Final (maybe in person) Interview with Data Science Lead and CEO
Benefits
- Competitive salary
- 25 days annual leave + bank holidays
- Share options
- Flexible working arrangements
- Dog-friendly office right above the beautiful Eccleston Yards
- Private healthcare (including dental and optic)
- Outstanding career progression opportunities
