Job Description
* Predominantly working with Large Language Models (LLMs).
* Strong understanding of agentic frameworks: LangGraph, LangChain, AutoGen, CrewAI, DeepSeek, OpenAI.
* Proven experience with agent-to-agent protocols.
* Ability to determine the most suitable LLM for specific environments and use cases.
* Collaboration with the model risk team for performance monitoring, testing, and compliance.
* Work closely with the central AI platform team to ensure alignment and scalability.
* Knowledge and hands-on experience with GPUs (fine-tuning, Nvidia reference architecture).
* Familiarity with AI governance principles and compliance requirements.
* Understanding of MCP servers and their role in AI orchestration.
Skills
* LLMs and generative AI.
* Agentic AI frameworks (LangChain, LangGraph, AutoGen).
* Model evaluation and risk management.
* GPU optimization and fine-tuning.
* AI governance and compliance.
* Quantitative analysis and mathematical modeling.
* C# or C++ programming.
* System/API design.
Employee Value Proposition
* Opportunity to work on cutting-edge AI technologies, including LLMs and agentic frameworks.
* Hands-on involvement in AI governance and risk management.
* Collaboration with central AI platform and model risk teams.
* Exposure to advanced GPU architectures and fine-tuning techniques.
* Influence in strategic decisions on LLM selection and deployment.
* Engage with stakeholders at all levels, including C-suite.
* Work in a dynamic environment combining AI innovation with quantitative expertise.
Job Title: Ai Engineer
Location: Sheffield, UK
Job Type: Contract
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