12 of 12 Multi-Agent System Jobs in Manchester

reinforcement learning, and supervised fine-tuning (SFT). Model Deployment & Inferencing : Optimise model serving and inference using vLLM, DeepSpeed, TensorRT, Triton, and other acceleration frameworks. Multi-Agent Systems : Develop and integrate agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy scalable machine learning workloads on … fine-tuning, and expertise in AWS and cloud-native AI deployments. Full-stack experience (React, TypeScript, Node.js) and API development. Familiarity with vector search and multi-agent orchestration Apply now to join this high growth and award-winning organisation with the opportunity to be part of building the future of AI driven More ❯

reinforcement learning, and supervised fine-tuning (SFT). Model Deployment & Inferencing : Optimise model serving and inference using vLLM, DeepSpeed, TensorRT, Triton, and other acceleration frameworks. Multi-Agent Systems : Develop and integrate agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy scalable machine learning workloads on … fine-tuning, and expertise in AWS and cloud-native AI deployments. Full-stack experience (React, TypeScript, Node.js) and API development. Familiarity with vector search and multi-agent orchestration Apply now to join this high growth and award-winning organisation with the opportunity to be part of building the future of AI driven More ❯

software collaboratively. In essence, you’ll play a role akin to a tech lead for a team of intelligent coding agents . You will: Design multi-agent systems with coding-focused agents (e.g., code writer, reviewer, tester, deployer) Write the prompts, logic, and scaffolding that guide each agent’s behavior Handle tool use, like enabling agents to access the file system, test runners, version control, and internal APIs Evaluate and refine agents’ output, performance, collaboration patterns, and feedback loops If you were on the team last week, you might have: Prototyped a new coding assistant workflow using open-source LLMs and internal More ❯

software collaboratively. In essence, you'll play a role akin to a tech lead for a team of intelligent coding agents . You will: Design multi-agent systems with coding-focused agents (e.g., code writer, reviewer, tester, deployer) Write the prompts, logic, and scaffolding that guide each agent's behavior Handle tool use, like enabling agents to access the file system, test runners, version control, and internal APIs Evaluate and refine agents' output, performance, collaboration patterns, and feedback loops If you were on the team last week, you might have: Prototyped a new coding assistant workflow using open-source LLMs and internal More ❯

to join a team that's reimagining how software is built by integrating cutting-edge AI tools directly into the engineering lifecycle. Responsibilities: Design intelligent multi-agent systems tailored for software development Develop prompt structures, logic flows, and tool integrations that guide agent behaviour Enable agent More ❯

join a team that's reimagining how software is built by integrating cutting-edge AI tools directly into the engineering life cycle. Responsibilities: Design intelligent multi-agent systems tailored for software development Develop prompt structures, logic flows, and tool integrations that guide agent behaviour Enable agent More ❯

to join a team that's reimagining how software is built by integrating cutting-edge AI tools directly into the engineering lifecycle. Responsibilities: Design intelligent multi-agent systems tailored for software development Develop prompt structures, logic flows, and tool integrations that guide agent behaviour Enable agent More ❯

to join a team that's reimagining how software is built by integrating cutting-edge AI tools directly into the engineering lifecycle. Responsibilities: Design intelligent multi-agent systems tailored for software development Develop prompt structures, logic flows, and tool integrations that guide agent behaviour Enable agent More ❯

utilizing intelligent agentic solutions to design, develop, and deliver software. In this AI Engineering role, the key responsibilities will include: Contributing to the design of multi-agent systems with coding-focused agents (code writing, reviewing, testing) Constructing prompts, logic, and scaffolding to guide agent behavior Managing AI More ❯

to join a team that's reimagining how software is built by integrating cutting-edge AI tools directly into the engineering lifecycle. Responsibilities: Design intelligent multi-agent systems tailored for software development Develop prompt structures, logic flows, and tool integrations that guide agent behaviour Enable agent More ❯

AI-augmented engineering, innovating how software is designed, developed, and delivered using intelligent solutions. In this AI Engineering role, your key responsibilities will include: Designing multi-agent systems with coding-focused agents, including coding, reviewing, and testing. Creating prompts, logic, and scaffolding to guide agent behavior. Managing More ❯

Gen AI solutions using modern cloud platforms (e.g. AWS Bedrock). Pattern Power : Deep understanding of RAG models, agent workflows, and multi-agent systems. Operational Know-How : Familiarity with GenAIOps, AI security, and responsible AI practices. Builder's Mindset : Bonus points for experience with APIs, CI/CD More ❯