P

proSapient

SaaS expert network for primary research

Search & AI Retrieval Lead

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeRemote in UKNo salary listed

About the Job

Requirements

  • At least 5 years of experience building and scaling production search or retrieval systems.
  • Strong experience designing search architectures, not just operating them.
  • Experience evaluating and selecting search technologies.
  • Experience with semantic search and embeddings-based retrieval.
  • Experience building pipelines on top of frontier large language models, including OpenAI or Gemini.
  • Strong Python skills.
  • Experience leading technical initiatives in mid-sized teams.
  • Experience working with cloud-native systems, preferably Google Cloud Platform.

Responsibilities

  • Evaluate and define the future search stack, including technology selection.
  • Design a scalable, cloud-native search architecture from first principles.
  • Decide between and combine keyword search, vector search, hybrid retrieval, graph-based retrieval, and large language model re-ranking approaches.
  • Design indexing, data modeling, and ranking strategies.
  • Define measurable relevance and quality frameworks.
  • Design and implement a knowledge graph architecture modeling entities and relationships.
  • Define graph schemas, linking strategies, and enrichment workflows.
  • Combine graph-based signals with semantic search and ranking models.
  • Build extraction pipelines on top of frontier models, including OpenAI and Gemini.
  • Develop modern recommendation systems leveraging structured and unstructured data.
  • Architect retrieval pipelines on Google Cloud Platform.
  • Design data pipelines and feature stores using BigQuery or alternative analytical systems.
  • Ensure scalability, observability, and cost efficiency.
  • Build production-grade systems rather than experiments.

About the Company

proSapient

SaaS expert network for primary research

proSapient provides a software-as-a-service platform that powers an AI-assisted expert network for primary research. It helps consulting firms, private equity funds, and corporate clients find, vet, and connect with a global pool of industry experts for due diligence, market intelligence, and investment research. Clients use the platform to arrange one-on-one consultations, paid calls, and customized surveys, with the system handling matching, scheduling, and workflow. Revenue comes from subscriptions granting access to the platform and from fees for each expert interaction. Unlike typical networks, proSapient emphasizes AI-driven matching and streamlined interactions to scale high-quality, industry-specific insights. The company aims to broaden its network and enhance efficiency for clients performing diligence and strategic research.

Company size
501-1,000
Company stage
Series A
Total funding
$18M
Headquarters
London, United Kingdom
Founded
2017

Recently Posted Jobs

Explore more opportunities at proSapient

See more jobs