Job Title
Search & AI Retrieval Lead
Salary
£100k
Company Description
proSapient is a market intelligence platform that enables consulting and private equity firms to discover niche industry knowledge. By combining advanced software with a global network of experts, proSapient helps major investors make critical decisions through curated interviews, surveys, and expansive knowledge management tools powered by sophisticated search and AI architecture.
Job Description
Join proSapient as a Staff-level IC to define the future of information discovery. You will architect a next-generation hybrid Graph RAG and GNN reranker system, partnering closely with Google’s product teams. This high-impact role balances hands‑on Python development with strategic architectural guidance to surface insights across massive, unstructured datasets for global investors.
Location
London, UK
Why this role is remarkable
- Build a cutting-edge hybrid Graph RAG + GNN reranker system in direct partnership with Google’s product teams, ensuring you stay at the absolute frontier of retrieval technology.
- Join a high‑motivation, low‑ego environment with 0% politics where you report directly to the CTO as a Staff‑level individual contributor with 70% hands‑on work.
- Work with genuinely unique data spanning every imaginable business sector, from deep tech to agriculture, creating systems that directly impact multi‑million dollar investment decisions.
Responsibilities
- Architect and implement a scalable, cloud‑native search stack on GCP, deciding between and combining vector search, hybrid retrieval, and graph‑based approaches.
- Design and implement a Knowledge Graph architecture that models complex entities and relationships, integrating extraction pipelines powered by frontier models like OpenAI and Gemini.
- Develop production‑grade intelligent retrieval systems and recommendation engines that leverage both structured and unstructured data to surface the world’s most niche expertise.
Qualifications
- Possesses 5+ years of experience building and scaling production search or retrieval systems, with a strong background in Python and cloud‑native architecture on GCP.
- Demonstrates deep expertise in semantic search, embeddings‑based retrieval, and building production‑grade data pipelines on top of frontier LLMs like OpenAI and Gemini.
- Proven ability to lead technical initiatives and design complex architectures, with specific experience in knowledge graphs, entity linking, and re‑ranking strategies at scale.
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