Graduate AI Engineer- PE Firm

Our client is a PE firm with investment activities spanning private equity and other emerging-market strategies. Their current assets under management is US $1.6 billion. The business is transforming itself into a digital and AI-driven platform. You will be one of the first two technology hires supporting the CTO & Chief Digital Officer in building that platform from the ground up.

Key

Job Responsibilities:

Build document intelligence. LLM-based extraction of structured data from the documents private markets run on: CIMs, financial statements, term sheets, legal agreements, DDQs. Build the knowledge layer. Retrieval-augmented search over the firm's deal history, research, and documents, so institutional knowledge stops living in inboxes. Automate workflows. Deal screening and market scanning, investor reporting, DDQ/RFP response drafting - anything repetitive that specialists currently do by hand.

Own evaluation. Build the harnesses that measure whether AI outputs are accurate enough for an investment context. Precision matters enormously here, and "looks plausible" is not a bar. Drive adoption. Train the deal team on the tools you ship, gather feedback, run internal demos and lunch-and-learns, and iterate fast on what you learn. Prototype relentlessly. Evaluate new models, frameworks, and vendor tools;

build quick proofs-of-concept; recommend build-vs-buy with evidence. Key Job Requirement: A degree (2:1 or above, or equivalent evidence of ability) in computer science, engineering, maths, physics, or a similarly quantitative field or a demonstrable self-taught equivalent. Solid programming ability in Python (and ideally some Type Script/JavaScript for lightweight UIs). You can show us things you've built. Hands-on curiosity about LLMs: you've built something with a model API (OpenAI, Anthropic, open-weights), even if it's a personal project.

Product sense: you care whether people actually use what you build, and you'd rather ship something rough this week than something perfect next quarter. Clear communication. You'll demo to and train non-technical investment professionals. Care and discretion. You'll handle commercially sensitive financial data and must take security and confidentiality seriously. Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates