10 of 10 Permanent Multi-Agent System Jobs in Scotland

leading financial services clients. You’ll work hands‐on across the full AI engineering lifecycle, from architecting intelligent multi‐agent systems to deploying scalable production‐grade AI applications within enterprise environments. As a senior consultant, you’ll also collaborate closely with ...

SKILLSExperience leading teams building AI products for financial services, capital markets, research, analytics, or other data-intensive domains. Experience developing multi-agent systems, autonomous workflows, copilots, and intelligent AI assistants. Knowledge of reinforcement learning, fine-tuning, synthetic data generation, model compression ...

follow-ups Identify recurring operational issues and automate remediation to improve platform stability and developer experience Build and maintain multi-agent systems with strong orchestration (planning, coordination, tool-calling, state/memory, and workflow control) where appropriate Contribute to an inclusive … communities of practice Required Qualifications, Capabilities, and Skills Formal training, certification, or equivalent practical experience in software engineering concepts 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 ...

AWS. This role sits at the intersection of AI engineering and cloud architecture, owning the end-to-end implementation of multi-agent pipelines, knowledge bases, and orchestration frameworks using Amazon Bedrock and its surrounding ecosystem. The right candidate has shipped real … space that often lacks it. Key Responsibilities Design and implement production agentic AI systems on Amazon Bedrock, including multi-agent orchestration, memory management, and tool integration using Amazon Bedrock AgentCore and Strands Agents Build, integrate, and maintain MCP (Model Context Protocol ...

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 ...

follow-up 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 … 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 ...

Infrastructure as Code. Experience with MLOps, LLMOps, observability, monitoring, and production support. Hands-on experience with agentic AI, multi-agent systems, MCP, A2A, or similar orchestration frameworks. Experience working within enterprise environments where integration with existing systems is critical. This ...

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 ...