Our Client is currently hiring a AI search and retrieval Principal Engineer to join their amazing team
About the company:
Founded in 2017, they are a leading expert network and primary research platform that connects businesses with vetted subject-matter experts for calls, surveys, and longer engagements.
The platform combines AI-powered search with human expertise to deliver fast, accurate, and scalable solutions for knowledge access.
About the role/What you'll do:
You will act as both a hands-on builder and a technical leader within a mid-sized team, defining long-term architecture and making key technology decisions.
Search Architecture Strategy:
- Evaluate and define the future search stack (technology selection is part of the role).
- Design a scalable, cloud-native search architecture from first principles.
- Decide between and combine approaches such as:
- LLM re-ranking
- Design indexing, data modelling, and ranking strategies.
- Define measurable relevance and quality frameworks.
Knowledge Graph & Intelligent Retrieval:
- Design and implement a Knowledge Graph architecture modeling entities and relationships.
- Define graph schema, linking strategies, and enrichment workflows.
- Combine graph-based signals with semantic search and ranking models.
- Build extraction pipelines on top of frontier models (OpenAI, Gemini).
- Develop modern recommendation systems leveraging structured + unstructured data.
Data & Cloud Infrastructure (GCP-first):
- Architect retrieval pipelines on Google Cloud Platform (GCP).
- Design data pipelines and feature stores using BigQuery or alternative
analytical systems.
- Ensure scalability, observability, and cost efficiency.
- Build production-grade systems, not experiments.
Requirements:
-
5+years building and scaling production search or retrieval systems.
- Python skills.
- 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 LLMs (OpenAI, Gemini).
- Experience leading technical initiatives in mid-sized teams.
- Experience working with cloud-native systems (GCP).
What they offer:
Tenure Gifts - Vouchers, extra holiday and sabbaticals for each year of employment.
Health insurance.
Enhanced Maternity & Paternity pay.
Meal allowance.
Training budget.
Corporate Events - From quarterly gatherings to their annual winter & Summer parties, they love to celebrate, collaborate and have fun together!
Want to know more? Get in touch with us
