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.
Back to all jobs
Talk to Jack
Learn about Jack
Search & AI Retrieval Lead at proSapient
Join proSapient as the Search & AI Retrieval Lead to build a next-generation hybrid Graph RAG and GNN reranker system in direct partnership with Google’s product teams. This Staff-level role offers a rare mix of 70% hands-on Python development and 30% architectural ownership, allowing you to define the search strategy for a platform used by the world’s leading private equity and consulting firms. If you are a high-motivation, low-ego engineer ready to solve complex retrieval challenges across diverse, unstructured datasets on GCP, this is the perfect opportunity to drive innovation without the corporate politics.
Want to apply for this role?
Jack finds you jobs at companies like proSapient. Talk to Jack to get considered for roles that fit what you're great at.
Location
London, United Kingdom
Compensation
£100k
Company
proSapient
Role overview
proSapient is a tech-led expert network platform that connects investment firms, consultancies, and private equity firms with industry-leading experts for primary research and insights. The platform enables professionals to share insights through one-on-one calls, surveys, and long-term engagements, and includes features such as AI-powered expert search, automated transcriptions, and instant messaging. Since launching in 2017, proSapient has been automating expert network operations and helping clients make smarter decisions through rapid, targeted research.
What you will do
- 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.
Who this is a fit for
- 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.
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.
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
Meet Jack
What happens next?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If your profile’s a match and proSapient wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.