9 of 9 MCP Jobs in the North West

Bonus Points: Experience with modern LLM orchestration frameworks (e.g., LangChain, LlamaIndex, DSPy, LangGraph). Experience in agentic system design and tool calling (Adk, A2A, MCP, etc...) Prior work on human-in-the-loop systems, data annotation platforms, or reinforcement learning from human feedback (RLHF). An interest or experience ...

Bonus Points: Experience with modern LLM orchestration frameworks (e.g., LangChain, LlamaIndex, DSPy, LangGraph). Experience in agentic system design and tool calling (Adk, A2A, MCP, etc...) Prior work on human-in-the-loop systems, data annotation platforms, or reinforcement learning from human feedback (RLHF). An interest or experience ...

Bonus Points: Experience with modern LLM orchestration frameworks (e.g., LangChain, LlamaIndex, DSPy, LangGraph). Experience in agentic system design and tool calling (Adk, A2A, MCP, etc...) Prior work on human-in-the-loop systems, data annotation platforms, or reinforcement learning from human feedback (RLHF). An interest or experience ...

Bonus Points: Experience with modern LLM orchestration frameworks (e.g., LangChain, LlamaIndex, DSPy, LangGraph). Experience in agentic system design and tool calling (Adk, A2A, MCP, etc...) Prior work on human-in-the-loop systems, data annotation platforms, or reinforcement learning from human feedback (RLHF). An interest or experience ...

/CD:Jenkins, GitHub Actions, Azure DevOps IaC: Terraform, CloudFormation, Azure Bicep Pragmatic and safe usage of AI through the SDLC (e.g. using MCP to combine tools in interesting and effective ways) Qualifications Essential requirements Experience in managing and technically leading a software engineering team Soft-skills to interact with ...

Responsibilities: Architect multi-agent systems (supervisor, router, reasoning flow) Develop/tune ML models Ensure reproducibility, documentation Communicate ML findings to clinical research Integrate MCP server (potential)/other tools; ensure workflow compatibility Develop agent decision policies Diagnose reasoning gaps, refine routing logic What we expect: Proficiency in Python programming … using and reasoning, for instance, the combination of RAG solution and code interpreter Experience with Multi-agent system architecture (e.g., LangGraph, ToolUniverse) Experience with MCP tool integration and orchestration Experience with API design and integration Experience with tool wrapping and interoperability Experience with Error handling and debugging (agentic workflows, logs ...

Responsibilities: Architect multi-agent systems (supervisor, router, reasoning flow) Develop/tune ML models Ensure reproducibility, documentation Communicate ML findings to clinical research Integrate MCP server (potential)/other tools; ensure workflow compatibility Develop agent decision policies Diagnose reasoning gaps, refine routing logic What we expect: Proficiency in Python programming … using and reasoning, for instance, the combination of RAG solution and code interpreter Experience with Multi-agent system architecture (e.g., LangGraph, ToolUniverse) Experience with MCP tool integration and orchestration Experience with API design and integration Experience with tool wrapping and interoperability Experience with Error handling and debugging (agentic workflows, logs ...

Responsibilities: Architect multi-agent systems (supervisor, router, reasoning flow) Develop/tune ML models Ensure reproducibility, documentation Communicate ML findings to clinical research Integrate MCP server (potential)/other tools; ensure workflow compatibility Develop agent decision policies Diagnose reasoning gaps, refine routing logic What we expect: Proficiency in Python programming … using and reasoning, for instance, the combination of RAG solution and code interpreter Experience with Multi-agent system architecture (e.g., LangGraph, ToolUniverse) Experience with MCP tool integration and orchestration Experience with API design and integration Experience with tool wrapping and interoperability Experience with Error handling and debugging (agentic workflows, logs ...

Responsibilities: Architect multi-agent systems (supervisor, router, reasoning flow) Develop/tune ML models Ensure reproducibility, documentation Communicate ML findings to clinical research Integrate MCP server (potential)/other tools; ensure workflow compatibility Develop agent decision policies Diagnose reasoning gaps, refine routing logic What we expect: Proficiency in Python programming … using and reasoning, for instance, the combination of RAG solution and code interpreter Experience with Multi-agent system architecture (e.g., LangGraph, ToolUniverse) Experience with MCP tool integration and orchestration Experience with API design and integration Experience with tool wrapping and interoperability Experience with Error handling and debugging (agentic workflows, logs ...