I’m working with a leading investment firm that is building out a new AI capability and looking for a
Senior AI Engineer
to join the team.
This is a genuinely hands-on role for someone who wants to build production AI systems rather than spend their time creating proofs of concept. You’ll have ownership from idea through to deployment, working across
RAG, agentic AI and LLM applications
.
What you’ll be doing
* Building and owning production-grade
RAG pipelines
* Designing
agentic and multi-agent systems
, including tool use, memory and orchestration
* Building LLM-powered applications using OpenAI, Anthropic and open-source models
* Developing Python APIs and backend services
* Improving AI reliability through
evals, guardrails, observability and testing
* Working with vector databases, Graph DBs and unstructured data
What they’re looking for
* Strong
Python/software engineering
background
* Commercial experience taking
AI/LLM systems into production
* Hands-on experience with
RAG and/or agentic AI
* Experience with tools such as LangGraph, LangChain, LlamaIndex, AutoGen or similar
* Someone entrepreneurial who enjoys experimenting, taking ownership and building from the ground up
This is a great opportunity to join an AI function while it’s still being shaped, with the freedom to influence how AI is built and used across the business.
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