Forward-Deployed AI Engineer
other jobs SR
Added before 5 hours
- England,London,City of London
- Full Time, Contract
- £800 - £950 per day
Job Description:
Full job descriptionForward-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.
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.
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
Exposure to GraphRAG, Neo4j, Microsoft Graph and LLM evaluation frameworks would be beneficial.
Job number 4115161
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