implementation, including fine-tuning, prompt engineering, and secure deployment. Proficiency in building agentic workflows using modular LLM agents with memory, planning, and tool integration. Experience implementing Model Context Protocol (MCP) for secure, auditable context injection across agentic systems. Demonstrated ability to build RAG pipelines with strict data governance and contextual integrity. Familiarity with regulatory frameworks such as the EU AI More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
US TECH SOLUTIONS LIMITED
language processing. Proficient in Python, with the ability to understand and work with a codebase containing multiple interrelated files. Experience with AI agent frameworks such as Model Context Protocol (MCP) and LangChain. Familiarity with architectural patterns of large-scale software systems. Basic knowledge of SQL and data analysis is a plus. Experience using source control systems (e.g., Git). Experience … in generative AI and LLM research preferred. Essential Skills: Python programming Generative AI knowledge Understanding of MCP servers and LangChain frameworks More ❯
experience with LLM implementation, including fine-tuning, prompt engineering, and secure deployment Built agentic workflows using modular LLM agents with memory, planning, and tool integration Implemented Model Context Protocol (MCP) to manage secure, auditable context injection across agentic systems Experience building RAG pipelines with strict data governance and contextual integrity Familiarity with EU AI Act, FCA cybersecurity principles, and oversight … intelligence, and agentic workflows Use of vector databases (e.g., FAISS, Pinecone, Chroma) for semantic search and retrieval Implementation of grounding, context injection, and response validation mechanisms Model Context Protocol (MCP) Implement secure, policy-aligned Model Context Protocol (MCP) for managing contextual memory, grounding, and session control in LLM-based systems Enforce context boundary policies, context versioning, and traceability to support … auditability and prevent data leakage Integrate MCP with enterprise IAM and data governance frameworks to ensure compliant context injection and revocation Agentic Workflows Design and orchestrate agentic AI workflows using modular, goal-driven agents with memory, planning, and tool-use capabilities Implement secure agent execution environments with task decomposition, tool chaining, and feedback loops Integrate agents with enterprise systems (e.g. More ❯
experience with LLM implementation, including fine-tuning, prompt engineering, and secure deployment Built agentic workflows using modular LLM agents with memory, planning, and tool integration Implemented Model Context Protocol (MCP) to manage secure, auditable context injection across agentic systems Experience building RAG pipelines with strict data governance and contextual integrity Familiarity with EU AI Act, FCA cybersecurity principles, and oversight … intelligence, and agentic workflows Use of vector databases (e.g., FAISS, Pinecone, Chroma) for semantic search and retrieval Implementation of grounding, context injection, and response validation mechanisms Model Context Protocol (MCP) Implement secure, policy-aligned Model Context Protocol (MCP) for managing contextual memory, grounding, and session control in LLM-based systems Enforce context boundary policies, context versioning, and traceability to support … auditability and prevent data leakage Integrate MCP with enterprise IAM and data governance frameworks to ensure compliant context injection and revocation Agentic Workflows Design and orchestrate agentic AI workflows using modular, goal-driven agents with memory, planning, and tool-use capabilities Implement secure agent execution environments with task decomposition, tool chaining, and feedback loops Integrate agents with enterprise systems (e.g. More ❯
