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FORWARD-DEPLOYED AI ENGINEER
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Forward-Deployed AI Engineer
Location: London
Contract Type: Contract
Job Type: Consulting
Salary Range: GBP800 - 950 per day
Posted: 5 hours ago
Job Overview
We are looking for a hands-on Forward-Deployed AI Engineer to own the end-to-end delivery of a rapid AI proof of concept within a complex regulated enterprise.
You will take an initial use case and dataset through to a working prototype, demonstrating how regulatory and compliance information can be queried using modern AI, retrieval and agentic technologies.
Key Responsibilities
- Own the technical POC from scope through to demonstration
- Build front-end and back-end components
- Design and implement RAG and retrieval capabilities
- Work with vector databases and/or knowledge graphs
- Develop agentic workflows and supporting harnesses
- Build evaluation frameworks and assess LLM/retrieval quality
- Integrate enterprise datasets
- Rapidly test, iterate and demonstrate solutions
- Work closely with architects, data specialists, and client technical teams
Experience Required
- Strong hands-on AI/LLM engineering experience
- RAG and retrieval architectures
- Agentic AI/workflows
- Strong software engineering capability across front and back end
- Azure and Azure OpenAI/OpenAI
- Experience taking AI prototypes from concept to working solution
- Comfortable independently owning a technical workstream in an ambiguous discovery environment
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Exposure to GraphRAG, Neo4j, Microsoft Graph, and LLM evaluation frameworks would be beneficial.
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Forward-Deployed AI Engineer
We are looking for a hands-on Forward-Deployed AI Engineer to own the end-to-end delivery of a rapid AI proof of concept within a complex regulated enterprise.
You will take an initial use case and dataset through to a working prototype, demonstrating how regulatory and compliance information can be queried using modern AI, retrieval and agentic technologies.
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Key Responsibilities
- Own the technical POC from scope through to demonstration
- Build front-end and back-end components
- Design and implement RAG and retrieval capabilities
- Work with vector databases and/or knowledge graphs
- Develop agentic workflows and supporting harnesses
- Build evaluation frameworks and assess LLM/retrieval quality
- Integrate enterprise datasets
- Rapidly test, iterate and demonstrate solutions
- Work closely with architects, data specialists, and client technical teams
Experience Required
- Strong hands-on AI/LLM engineering experience
- RAG and retrieval architectures
- Agentic AI/workflows
- Strong software engineering capability across front and back end
- Azure and Azure OpenAI/OpenAI
- Experience taking AI prototypes from concept to working solution
- Comfortable independently owning a technical workstream in an ambiguous discovery environment
Exposure to GraphRAG, Neo4j, Microsoft Graph, and LLM evaluation frameworks would be beneficial.
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