I’m partnered with a scaling Private Equity firm making a serious investment into AI and hiring their first IC AI Engineer. This is not joining an existing AI team. This is building the capability from the ground up.

You will work directly with an exceptionally intelligent and forward thinking leader who understands AI deeply and wants it built properly. This is about production systems, not slideware or surface level experimentation.

You will operate across the full modern AI stack, including:

• Designing and scaling RAG pipelines over messy, real world unstructured data
• Working with embeddings and vector databases such as Pinecone, Weaviate and Qdrant, alongside graph databases
• Building agentic and multi agent workflows with structured state management and tool routing
• Integrating OpenAI, Anthropic and open source models such as Llama and Mistral into secure production systems
• Owning evaluation frameworks, regression testing and systematically reducing hallucinations and failure modes
• Building typed, well tested backend services in Python with FastAPI and strong observability

You will be encouraged to leverage modern AI coding tools such as Cursor, Windsurf and Copilot, but with strong engineering judgement. The expectation is production grade systems with governance, security and performance in mind.

What They’re Looking For

• Strong Python engineering fundamentals
• Hands on experience building and shipping AI or LLM based systems
• Practical RAG implementation experience
• Comfort working with vector databases and APIs
• A sceptical, engineering led mindset when working with LLMs
• Someone comfortable with ambiguity and excited by building from zero