Founding Engineer

HartleyCo; Greater London; Hybrid; GBP 100,000 - 140,000; Full time

Benefits offered by this job

Founding equity

Hybrid work

Early-stage exposure

Job summary

HartleyCo is seeking a founding engineer in London to own the platform from data ingestion to delivering accurate retrieval and answers. You will build the knowledge graph, design robust retrieval agents, and deploy production systems on Google Cloud.

You’ll shape the product as one of the first engineers, work directly with the founders, and receive founding equity as the platform takes shape in a tight, multi-disciplinary team.

Qualifications

• Experience shipping retrieval systems or knowledge-graph based components in production.
• Experience with LLM integration and data extraction pipelines is a plus.
• Strong software engineering fundamentals and ability to own feature end-to-end.

Responsibilities

• Own the end-to-end platform from data ingestion to retrieval and answers.
• Build and evolve the knowledge graph and retrieval agents.
• Collaborate with the founding team to shape architecture and roadmap.
• Deploy and monitor production systems in the cloud.

Skills

Retrieval systems

Knowledge graph

LLMs

Infrastructure

Production deployment

Tools

Python

TypeScript

Google Cloud

Job description

Founding Engineer - AI startup for private equity - London (hybrid)

Private equity firms lose knowledge constantly. Years of deals, memos and opinions are buried in inboxes and folders, and a lot of it leaves when a partner does.

I’m working with an early-stage London startup that fixes this. They’re building a searchable memory for investment firms. It reads a firm’s documents and emails, then connects everything it finds into one record, so you can ask a question and get an answer with the source attached.

They need a founding engineer, Employee #4.

You’d take a problem from a pile of messy PDFs to an answer a partner will bet money on, and you’d own it the whole way through. That covers reading documents with LLMs, building the knowledge graph, and the retrieval and agents on top. Python, TypeScript, Google Cloud.

It’s a tiny team run by second-time founders, with real say in how the platform gets built and founding equity to go with it.

They want someone who has shipped retrieval, extraction, knowledge graph or infrastructure work in production and wants to own it.