AI Engineer

Description

• Architect and build AI-driven backend services powering semantic search, natural language interfaces, recommendations and assistants
• Work with knowledge graphs and structured data to add richer context and smarter reasoning to AI workflows
• Design and optimise RAG pipelines using embeddings, vector databases (Pinecone, Weaviate, FAISS) and other retrieval systems
• Develop agentic / multi-step AI workflows that call tools, APIs and data sources to automate real user journeys
• Integrate and deploy LLM APIs (OpenAI, Anthropic, Cohere) and open-source AI frameworks (LangChain, LlamaIndex, LangGraph) into production

Requirements

Are you an AI engineer who loves turning cutting‑edge AI into real products? This London-based startup is transforming how service providers and customers connect, and is looking for a founding AI engineer to help design and build the core of its AI platform.

AI is central to the product, powering semantic search, intelligent matching, assistants, and personalised experiences across web and mobile. You’ll work closely with the founders to design and deliver creative AI features that genuinely change how people discover and book services.

• Comfortable in modern backend stacks (Node.js, Python, or similar – Node is a plus, not a requirement)
• Hands-on with vector databases (Pinecone, Weaviate, FAISS or similar) and large, complex datasets
• Familiarity with LLM tooling (e.g. LangChain, LlamaIndex) and agentic AI concepts
• Hybrid: able to work from the North London office 2 days per week
• Experience building semantic search, RAG pipelines or similar retrieval-heavy AI systems

Benefits

• £100K–£120K base salary + meaningful equity
• Hybrid working (North London HQ)

Training + Development

Interview process

Visa Sponsorship

Security clearance