AI Search and Retrieval Principal Engineer
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Job Location:
Monthly Salary:
Posted on:
4 days ago
Vacancies:
1 Vacancy
Job Summary
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.
The platform combines AI-powered search with human expertise to deliver fast accurate and scalable solutions for knowledge access.
About the role/What youll do:
You will act as both a hands-on builder and a technical leader within a mid-sizedteam 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:
-Keyword search
-Vector search
-Hybrid retrieval
-Graph-based retrieval
-LLM re-ranking
Design a scalable cloud-native search architecture from first principles.
Decide between and combine approaches such as:
-Keyword search
-Vector search
-Hybrid retrieval
-Graph-based retrieval
-LLM re-ranking
Design indexing data modelling and ranking strategies.
Define measurable relevance and quality frameworks.
Define measurable relevance and quality frameworks.
Knowledge Graph & Intelligent Retrieval:
Design and implement a Knowledge Graph architecture modeling entitiesand 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.
Design and implement a Knowledge Graph architecture modeling entitiesand 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.
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.
- Strong 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.
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
Required Experience:
Staff IC
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