AI Engineer Search and Retrieval - Full time Permanent - Remote in the UK

I’m working with an interesting, fast-growing business that sits at the intersection of data, knowledge, and decision making. They support consulting and private equity firms by helping them access and surface high-quality insight both from external experts and their own internal knowledge.

What you’ll be doing

Define and design a scalable, cloud-native search architecture from the ground up

Evaluate and select the right technologies across keyword, vector, hybrid, and graph-based search

Design indexing, ranking, and data modelling strategies

Establish clear frameworks for measuring search relevance and performance

Design and implement a knowledge graph to model entities and relationships

Define schema, linking strategies, and enrichment workflows

Combine graph-based signals with semantic search and ranking models

Build extraction and enrichment pipelines using modern LLMs

Architect scalable retrieval and data pipelines in a GCP environment

Work with analytical platforms such as BigQuery (or similar)

What they’re looking for

Strong experience building and scaling production-grade search or retrieval systems

Proven ability to design search architectures from scratch

Experience working with semantic search, embeddings, and vector-based retrieval

Hands-on experience building pipelines using LLMs (OpenAI, Gemini)

Strong Python skills

Experience working in cloud-native environments (ideally GCP)

Background leading or owning technical initiatives within a team

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