4 of 4 Multi-Agent System Jobs in Glasgow

analyses and follow-up actionsIdentify recurring operational issues and automate remediation to improve platform stability and developer experienceBuild and maintain multi-agent systems with strong orchestration, including planning, coordination, tool-calling, state and memory management, and workflow control where appropriateDrives team … secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team. Required qualifications, capabilities, and skillsHands-on experience with system design, application development, testing, and operational stability in production environmentsAdvanced proficiency in Python for building production-grade services and toolingProficiency with automation and continuous ...

regulated environments. Expertise in Python engineering skills, including production‐grade design, testing, debugging, and performance tuning/optimization. Advanced prompt engineering capabilities, including system prompts, few‐shot prompting, tool/function calling, and schema‐constrained outputs (e.g., JSON Schema). Understanding of agentic AI system layers … scaling AI/ML workloads using distributed training/serving frameworks (e.g., Ray) and GPU acceleration (e.g., CUDA) environments. Proficiency with modern AI system architectures and patterns, including RAG, agentic RAG, and multi‐agent systems. Familiarity with LLM evaluation methodologies ...

actions Identify recurring operational issues and automate remediation to improve platform stability and developer experience Build and maintain multi‐agent systems with strong orchestration, including planning, coordination, tool-calling, state and memory management, and workflow control where appropriate Drives team adoption … coding, peer review, automated testing) and promoting reuse of effective patterns across the team. Required qualifications, capabilities, and skills Hands‐on experience with system design, application development, testing, and operational stability in production environments Advanced proficiency in Python for building production‐grade services and tooling Proficiency with automation ...

secure, regulated environments. Expertise in Python engineeringskills, including production-grade design, testing, debugging, and performance tuning/optimization. Advanced prompt engineeringcapabilities, including system prompts, few-shot prompting, tool/function calling, and schema-constrained outputs (e.g., JSON Schema). Understanding of agentic AI system layers … acceleration (e.g., CUDA) environments. Proficiency with modern AI system architectures and patterns, including RAG, agentic RAG, and multi-agent systems. Familiarity with LLM evaluation methodologiesacross quality, safety, and reliability, including guardrails, content filtering, and Responsible AI practices. Proficiency in GenAI ...