At a Glance
- Tasks: Architect a next-gen hybrid Graph RAG and GNN reranker system using Python.
- Company: proSapient, a forward-thinking tech company in London.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborate with Google's product teams in a dynamic environment.
- Why this job: Shape the future of information discovery and work with global investors.
- Qualifications: Experience in Python development and knowledge-graph modeling.
The predicted salary is between 60750 - 74250 £ per year.
proSapient in London, UK, is seeking a Staff-level IC to define the future of information discovery. You will architect a next-generation hybrid Graph RAG and GNN reranker system, balancing hands-on Python development with architectural guidance to surface insights across massive datasets for global investors.
This role partners closely with Google's product teams, reports to the CTO, and combines cloud-native search stack design on GCP with knowledge-graph modeling and frontier-model.
Lead, Search & AI Retrieval — Hybrid Graph RAG/GNN employer: Jack & Jill
At Jack & Jill, we pride ourselves on being an exceptional employer that fosters a dynamic and innovative work culture. Our team enjoys a range of benefits including flexible working arrangements, professional development opportunities, and a collaborative environment that encourages creativity and growth. Located in a vibrant area, we offer unique advantages such as access to cutting-edge technology and the chance to work with industry leaders in AI-driven marketing strategies.
