AI Engineer - Search and Retrieval

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

Find out if this opportunity is a good fit by reading all of the information that follows below.
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 xwzovoh 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