Inside IR3
We’re partnering with a leading private markets investment firm that is making significant investment into enterprise AI and looking to hire an AI Forward Deployed Engineer to help build and scale its next-generation AI platform.
This is a unique role sitting at the intersection of software engineering, AI platform development, and business-facing delivery. You’ll work directly with investment and finance teams to identify high-value use cases while also helping build the governed AI infrastructure that enables AI adoption across the firm.
Key Requirements
- Strong software engineering background with experience building and deploying production applications
- Excellent Python development skills (TypeScript experience also beneficial)
- Commercial experience building and deploying LLM-powered applications in production
- Experience with agentic workflows, AI copilots, RAG systems, and tool‑calling architectures
- Hands‑on experience with frameworks such as MCP, LangChain, LangGraph, Pydantic AI, or similar orchestration tools
- Experience integrating LLMs via APIs from providers such as OpenAI and Anthropic
- Knowledge of LLM observability, evaluation, tracing, and monitoring tools (Langfuse or similar)
- Strong stakeholder engagement skills and the ability to work directly with business users to translate requirements into software solutions
What’s on Offer
- 12‑month initial contract with strong extension potential
- Opportunity to shape AI adoption within a leading investment organization
- Work across both AI platform engineering and high‑impact business‑facing AI initiatives
- Exposure to cutting‑edge AI technologies including agentic systems, enterprise LLM infrastructure, and governed AI platforms
- Hybrid working with flexibility around office attendance
If you’re a strong software engineer with experience delivering production AI applications and enjoy working directly with stakeholders to solve complex business problems, I’d be keen to speak with you.
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