AI Engineer Search and Retrieval – Contract – 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
- Experience working in cloud-native environments (ideally GCP)
- Background leading or owning technical initiatives within a team
#J-18808-Ljbffr