with containerised tools like Docker, Docker Compose, Kubernetes, Helm, and understands the intricacies of deploying these in production. Some experience with agentic AI architectures and multi-agentsystems is beneficial, which could stem from personal projects or your own venture. Demonstrated ability to balance technical excellence with business requirements and time More ❯
About LightWork AI LightWork AI is transforming property management with state‐of‐the‐art AI. We automate end‐to‐end workflows in property management, lettings and compliance, always available and soon indistinguishable from human agents. Our team is lean, ambitious More ❯
robotics simulation) to lead the development of our HITL simulation stack from the ground up. In this role, you’ll architect, implement and test our multi-agent decision making engine using HITL simulations while maintaining the simulation-to-real gap as close as possible. You’ll be interacting with the Core ML … we are Mutable Tactics is a pioneering technology company specializing in advanced autonomy for squad robotic systems. We’re blending cutting-edge computer vision, ML, multi-agent AI and probabilistic inference techniques into autonomous UxV solutions for complex, mission-critical operations. Our team is dedicated to pushing the boundaries of robotics and … data generation). Experience with real-time systems . Experience with computer vision frameworks (OpenCV, YOLO, tensorflow, pytorch, etc.) What will set you apart Multi-agentsystems experience Experience with real-time systems or robotics middleware Familiarity with sensor integration and perception algorithms Understanding of safety standards and compliance More ❯
We specialize in cloud-first, full-stack agentic systems and applications. Our expertise spans multi-agent workflows, cloud architectures, DevOps, and cutting-edge frontend experiences—ranging from stunning animations to dynamic chat interfaces. We are looking for a Full Stack Developer to join our team and build powerful, scalable, and visually … engaging applications. Key Responsibilities: - Design, develop, and deploy cloud-native, full-stack applications optimized for multi-agent systems. - Implement and optimize multi-agent workflows that handle complex automation and decision-making processes. - Architect scalable backend systems using cloud services and serverless technologies. - Build … frameworks like Django, FastAPI, or Flask. - Experiences with RabbitMQ. - Cloud-Native Architectures: Experience with AWS, GCP, or Azure, including serverless computing, Kubernetes, and distributed systems. - Multi-AgentSystems & Automation: Understanding of multi-agent architectures, orchestration, and automation frameworks. - DevOps & Infrastructure: Familiarity with CI More ❯
London, England, United Kingdom Hybrid / WFH Options
Naptha AI
frontend developer to join our team as a founding member, focusing on rapidly developing and deploying dynamic user interfaces for products built on our custom multi-agentsystem stack. This role involves creating intuitive, responsive, and powerful interfaces that enable users to interact seamlessly with our AI systems. The ideal … iterate on UIs based on user feedback and evolving product requirements Work closely with our AI engineering team to ensure frontend components effectively leverage our multi-agentsystem capabilities Create reusable UI components and establish frontend architecture patterns for future development Implement real-time data visualization and interaction patterns that … high performance, accessibility, and cross-browser compatibility of all user interfaces Contribute to the overall product vision and help define the user experience of our multi-agentsystems In this role, you're a good fit if you have: Bachelor's degree in Computer Science, Software Engineering, Web Development, Design, or More ❯
a creative and rigorous engineer who is passionate about using AI as a tool to understand the human world. (Desirable) Experience or strong interest in multi-agentsystems, agent-based modeling (ABM), or game theory. MS or PhD in Computer Science, Machine Learning, Computational Social Science, or … Collaborate with product and commercial teams to address client challenges through research and technical solutions. Stay at the Forefront: Apply latest techniques in agentic AI, multi-agentsystems, and LLM evaluation to enhance our platform's capabilities. More ❯
Manchester, Lancashire, United Kingdom Hybrid / WFH Options
Mark43, Inc
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-agentsystems 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 ❯
Deploy via cloud platforms (AWS Bedrock, Azure AI, Google Vertex). Build UIs (Streamlit, Gradio, React) and integrate APIs and databases. Preferred Skills Experience with multi-agentsystems and ethical AI. Familiarity with advanced model configuration and reusable AI components. Job Title: Lead AI Engineer Location: Liverpool, UK Job Type: Contract More ❯
Derby, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
Experience building with LLMs (LangChain, LlamaIndex, or LangGraph) Familiar with vector databases for embedding/indexing with images, audio, text and video Familiar with different multi-agentsystem patterns Comfortable with FastAPI or Flask Strong cloud experience (GCP or AWS) Nice to have: GCP experience Background in ML projects Experience More ❯
Chesterfield, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
Experience building with LLMs (LangChain, LlamaIndex, or LangGraph) Familiar with vector databases for embedding/indexing with images, audio, text and video Familiar with different multi-agentsystem patterns Comfortable with FastAPI or Flask Strong cloud experience (GCP or AWS) Nice to have: GCP experience Background in ML projects Experience More ❯
Peterborough, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
Experience building with LLMs (LangChain, LlamaIndex, or LangGraph) Familiar with vector databases for embedding/indexing with images, audio, text and video Familiar with different multi-agentsystem patterns Comfortable with FastAPI or Flask Strong cloud experience (GCP or AWS) Nice to have: GCP experience Background in ML projects Experience More ❯
Bradford, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
Experience building with LLMs (LangChain, LlamaIndex, or LangGraph) Familiar with vector databases for embedding/indexing with images, audio, text and video Familiar with different multi-agentsystem patterns Comfortable with FastAPI or Flask Strong cloud experience (GCP or AWS) Nice to have: GCP experience Background in ML projects Experience More ❯
Leicester, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
Experience building with LLMs (LangChain, LlamaIndex, or LangGraph) Familiar with vector databases for embedding/indexing with images, audio, text and video Familiar with different multi-agentsystem patterns Comfortable with FastAPI or Flask Strong cloud experience (GCP or AWS) Nice to have: GCP experience Background in ML projects Experience More ❯
Stevenage, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
Experience building with LLMs (LangChain, LlamaIndex, or LangGraph) Familiar with vector databases for embedding/indexing with images, audio, text and video Familiar with different multi-agentsystem patterns Comfortable with FastAPI or Flask Strong cloud experience (GCP or AWS) Nice to have: GCP experience Background in ML projects Experience More ❯
Ipswich, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
Experience building with LLMs (LangChain, LlamaIndex, or LangGraph) Familiar with vector databases for embedding/indexing with images, audio, text and video Familiar with different multi-agentsystem patterns Comfortable with FastAPI or Flask Strong cloud experience (GCP or AWS) Nice to have: GCP experience Background in ML projects Experience More ❯
Preston, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
Experience building with LLMs (LangChain, LlamaIndex, or LangGraph) Familiar with vector databases for embedding/indexing with images, audio, text and video Familiar with different multi-agentsystem patterns Comfortable with FastAPI or Flask Strong cloud experience (GCP or AWS) Nice to have: GCP experience Background in ML projects Experience More ❯
Manchester, England, United Kingdom Hybrid / WFH Options
ZipRecruiter
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-agentsystems tailored for software development Develop prompt structures, logic flows, and tool integrations that guide agent behaviour Enable agentMore ❯
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-agentsystems tailored for software development Develop prompt structures, logic flows, and tool integrations that guide agent behaviour Enable agentMore ❯
Insider. We're looking for a full-stack engineer with hands-on experience in building and deploying LLM-based products from scratch. You'll develop multi-agentsystems, build product front-end and backend APIs, and ultimately create AI agents that autonomously handle the entire ML development lifecycle. Responsibilities Product Development … build distributed ML infra, multi-agentsystems, observability, client-facing APIs, and more - eventually owning your own product or product lines. Technical Leadership: drive technical decisions and architecture design, helping shape the foundations of our platform. Cross-Functional Collaboration: work closely with co-founders to translate business vision and customer feedback More ❯
Insider. We're looking for a full-stack engineer with hands-on experience in building and deploying LLM-based products from scratch. You'll develop multi-agentsystems, build product front-end and backend APIs, and ultimately create AI agents that autonomously handle the entire ML development lifecycle. Responsibilities Product Development … build distributed ML infra, multi-agentsystems, observability, client-facing APIs, and more - eventually owning your own product or product lines. Technical Leadership: drive technical decisions and architecture design, helping shape the foundations of our platform. Cross-Functional Collaboration: work closely with co-founders to translate business vision and customer feedback 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-agentsystems tailored for software development Develop prompt structures, logic flows, and tool integrations that guide agent behaviour Enable agentMore ❯
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-agentsystems tailored for software development Develop prompt structures, logic flows, and tool integrations that guide agent behaviour Enable agentMore ❯
for an experienced AI Research Engineer (UAV Swarms) to develop and implement AI algorithms specifically for Drone Swarming applications. Previous experience with Swarm Intelligence/Multi-agentsystems is ESSENTIAL. Experience of Interest: Bachelors, Masters or PHD in Computer Science, Engineering, Robotics or similar. Industry experience of ideally 3+ years within … AI/Machine Learning. Experience of Swarming, Swarm Intelligence and/or Multi-agent systems. Python, C++, Java or Rust. TensorFlow, TensorFlow Lite, TensorRT, PyTorch, Scikit-Learn. ROS/ROS2, Real-time & Embedded Systems. Simulation tools such as Gazebo or Webots. Edge AI/Edge computing familiarity such as NVIDIA Jetson. This More ❯
AI- tools using AWS , LLM orchestration frameworks , and the Model Context Protocol (MCP) . You’ll be driving document extraction and structured data pipelines using multi-agentsystems for property submissions — and shaping how we apply GenAI in complex, high-value business use cases. What You’ll Do Design and implement … feedback loops to reduce hallucinations Participate in roadmap and feature planning with the product team What We’re Looking For Proven experience with agentic AI , multi-agent frameworks, or LLM orchestration Full stack engineering skills (Python/Node.js ) with solid AWS experience Experience with document parsing , unstructured data ingestion, and vector search More ❯
Manchester, Lancashire, United Kingdom Hybrid / WFH Options
FPSG Connect
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-agentsystems with coding-focused agents (code writing, reviewing, testing) Constructing prompts, logic, and scaffolding to guide agent behavior Managing AI More ❯