Founding AI Engineer
Summary
Build and deploy LLM-powered tools for an investment firm, including research assistants and internal agents, while designing scalable AI infrastructure and governance.
Your new company
A well-established Asia-based investment firm is seeking to build its next‑generation AI capabilities. With multi‑billion‑dollar assets under management and a high‑conviction investment approach, the firm operates in a lean, collaborative environment and is focused on leveraging technology to enhance and transform its investment process.
Your new role
- Identify and automate high‑value investment workflows using LLM‑powered tools
- Build end‑to‑end AI applications (research assistants, summarisation tools, internal agents)
- Develop a unified, AI‑ready data platform integrating structured and unstructured data
- Design scalable infrastructure for AI experimentation and deployment (cloud, vector DBs, model serving)
- Establish secure AI architecture and governance aligned with regulatory standards
- Partner closely with analysts and leadership to explore AI‑driven investment insights and potential alpha opportunities
- Continuously evaluate and implement emerging AI technologies
What you’ll need to succeed
- Strong experience building LLM applications, including agentic systems, RAG, prompt engineering and evaluation frameworks
- Hands‑on full‑stack development (APIs, backend systems, simple frontends)
- Experience with LLM infrastructure and cloud platforms (deployment, scaling, inference, cost optimisation)
- Solid data engineering skills, particularly transforming unstructured data into structured datasets
- Understanding of data security, governance, and compliance principles