1 to 25 of 27 Remote Permanent Multi-Agent System Jobs

agentic AI systems across financial and retail B2C enterprises. You’ll architect large-scale AI agents that operate autonomously within production environments, integrating LLMs, multi-agent workflows, cloud-native infrastructure and real-time API interfaces. Experience translating ML models into resilient cloud applications, optimizing for performance, observability and secure operations at … Pinecone, Weaviate) and tool registries Enforce system-level requirements for security, compliance, observability and CI/CD Drive PoCs and reference architectures for multi-agent coordination , intelligent routing and goal-directed AI behavior Contribute to internal standards for scalable AI deployments, model governance, and fail-safe operations Must-Have Skills … protocols Infrastructure as Code using Terraform , AWS CDK or similar Experience with secure cloud deployments and production ML model integration Bonus Skills Applied work with multi-agent systems , tool orchestration, or autonomous decision-making Experience with vector databases (Pinecone, Weaviate, FAISS) and embedding pipelines Knowledge of AI chatbot frameworks (Rasa, BotPress More ❯

agentic AI systems across financial and retail B2C enterprises. You’ll architect large-scale AI agents that operate autonomously within production environments, integrating LLMs, multi-agent workflows, cloud-native infrastructure and real-time API interfaces. Experience translating ML models into resilient cloud applications, optimizing for performance, observability and secure operations at … Pinecone, Weaviate) and tool registries Enforce system-level requirements for security, compliance, observability and CI/CD Drive PoCs and reference architectures for multi-agent coordination , intelligent routing and goal-directed AI behavior Contribute to internal standards for scalable AI deployments, model governance, and fail-safe operations Must-Have Skills … protocols Infrastructure as Code using Terraform , AWS CDK or similar Experience with secure cloud deployments and production ML model integration Bonus Skills Applied work with multi-agent systems , tool orchestration, or autonomous decision-making Experience with vector databases (Pinecone, Weaviate, FAISS) and embedding pipelines Knowledge of AI chatbot frameworks (Rasa, BotPress More ❯

decision-making, and task execution. LLM Fine-Tuning & Enhancement: Adapt foundational models like GPT, Llama, integrating retrieval-augmented generation (RAG), personalization, and continuous improvement loops. Multi-Agent Systems: Implement collaborative AI systems that solve complex challenges in payments and customer interactions. Long-Term AI Memory & Personalization: Develop solutions to enhance …/ML development, with expertise in Python, TensorFlow, and PyTorch. Core AI Knowledge: LLM Optimization (RAG, fine-tuning, prompt engineering) Vector databases for AI retrieval Multi-agent systems and reinforcement learning Cloud AI deployment (AWS, Azure), inference optimization A snippet of what you'll get in return: Make your day work More ❯

AI solutions into Hiya's products, focusing on rapid iteration, prompt engineering, and practical application. You'll fine-tune and optimize foundation models, craft sophisticated multi-agent systems, and invent novel solutions to power the next generation of voice intelligence. What You'll Do Integrate AI solutions into existing products and More ❯

Kubernetes, security best practices, and cloud platforms (AWS, GCP, or Azure) Desirable: Experience with prompt engineering, Retrieval-Augmented Generation (RAG), and graph databases Familiarity with multi-agent LLM systems and agentic platforms (e.g., AutoGen, CrewAI), and experience deploying LLM-based applications Experience with tools such as LangChain, LangSmith, or Chainlit Exposure … systems (e.g., OAuth2, JWT) Success Metrics Deploy secure, scalable, and maintainable full-stack systems and LLM applications that deliver measurable business value Maintain low latency, high system uptime, and strong performance across APIs and AI services Drive fast, iterative collaboration across product, design, and engineering teams Continuously improve the platform through testing, research, and integration of More ❯

for fast-growing start-ups. Our client is now looking for an experienced AI Engineer with a strong track record in designing and deploying advanced multi-agent AI systems. In this role, you'll play a key part in developing their autonomous AI architecture, ensuring it remains reliable and robust within the More ❯

for fast-growing start-ups. Our client is now looking for an experienced AI Engineer with a strong track record in designing and deploying advanced multi-agent AI systems. In this role, you'll play a key part in developing their autonomous AI architecture, ensuring it remains reliable and robust within the More ❯

for fast-growing start-ups. Our client is now looking for an experienced AI Engineer with a strong track record in designing and deploying advanced multi-agent AI systems. In this role, you'll play a key part in developing their autonomous AI architecture, ensuring it remains reliable and robust within the More ❯

for fast-growing start-ups. Our client is now looking for an experienced AI Engineer with a strong track record in designing and deploying advanced multi-agent AI systems. In this role, you'll play a key part in developing their autonomous AI architecture, ensuring it remains reliable and robust within the More ❯

for fast-growing start-ups. Our client is now looking for an experienced AI Engineer with a strong track record in designing and deploying advanced multi-agent AI systems. In this role, you'll play a key part in developing their autonomous AI architecture, ensuring it remains reliable and robust within the More ❯

for fast-growing start-ups. Our client is now looking for an experienced AI Engineer with a strong track record in designing and deploying advanced multi-agent AI systems. In this role, you'll play a key part in developing their autonomous AI architecture, ensuring it remains reliable and robust within the More ❯

for fast-growing start-ups. Our client is now looking for an experienced AI Engineer with a strong track record in designing and deploying advanced multi-agent AI systems. In this role, you'll play a key part in developing their autonomous AI architecture, ensuring it remains reliable and robust within the More ❯

for fast-growing start-ups. Our client is now looking for an experienced AI Engineer with a strong track record in designing and deploying advanced multi-agent AI systems. In this role, you'll play a key part in developing their autonomous AI architecture, ensuring it remains reliable and robust within the More ❯

for fast-growing start-ups. Our client is now looking for an experienced AI Engineer with a strong track record in designing and deploying advanced multi-agent AI systems. In this role, you'll play a key part in developing their autonomous AI architecture, ensuring it remains reliable and robust within the More ❯

for fast-growing start-ups. Our client is now looking for an experienced AI Engineer with a strong track record in designing and deploying advanced multi-agent AI systems. In this role, you'll play a key part in developing their autonomous AI architecture, ensuring it remains reliable and robust within the More ❯

Research, evaluate, and implement state-of-the-art NLP methodologies and large language model approaches to drive product innovation and develop new functionalities. LLM Agents & Multi-Agent Systems: Design, develop, and deploy LLM agents and multi-agent systems to automate complex legal … ensuring they align with business objectives and provide tangible value. Strategic Innovation: Stay current with the latest trends and breakthroughs in NLP, machine learning, and multi-agent systems, and contribute ideas that shape the strategic direction of our AI initiatives. About You Machine Learning & NLP Expertise: Strong understanding of machine learning … Improvement: Proactive in identifying problems, performance bottlenecks, and areas for improvement while taking pride in building and operating scalable, reliable, and secure systems. LLM Agents & Multi-Agent Systems: Proven experience in designing, deploying, and scaling large language model (LLM) agents and multi-agent More ❯

machine learning and artificial intelligence. Familiarity with frameworks like LangChain and CrewAI. Additional Skills & Qualifications Experience with agent collaboration (A2A) or multi-agent task routing systems. Familiarity with MCP tools or advanced model configuration systems. Understanding of prompt injection prevention, ethical AI, and safety frameworks. Background in designing More ❯

and algorithms Background in theoretical foundations such as information theory, causal inference, or theoretical computer science Expertise in robust AI approaches including adversarial machine learning, multi-agent systems, or emergent behaviors Experience with large-scale distributed training and optimization techniques Knowledge of privacy-preserving machine learning and differential privacy methods Familiarity 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 ❯

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-agent systems 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 ❯

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 ❯

engineering, pioneering how software is designed, developed, and delivered using intelligent agentic solutions. In this Agentic AI Engineering role, the key responsibilities will include: Designing multi-agent systems with coding-focused agents, including coding, reviewing, and testing. Constructing prompts, logic, and scaffolding to guide each agent's More ❯

is a London-based startup on a mission to build semi-autonomous companies through solving human-agentic orchestration. DeepFlow’s platform leverages advanced AI and multi-agent LLM technologies across five critical operational areas: Task Definition and Decomposition: Precisely breaking down complex goals into manageable sub-tasks. Task Delegation and Optimisation: Intelligently … the forefront of workflow management innovation. Our ambitious research vision at DeepFlow is centred on building autonomous agentic systems capable of collaborating in dynamic multi-agent/human teams, transforming complex coordination into a significant human advantage. This endeavour involves cutting-edge research and innovative integration across several highly active fields … of AI and machine learning, including high-capacity multi-modal foundation models, reinforcement learning, and multi-agent collaboration frameworks. Internship Opportunity - Join the ML Team at DeepFlow We are looking for a highly motivated intern to join our ML team led by Dr. Stefano Albrecht (Director of AI More ❯

is a London-based startup on a mission to build semi-autonomous companies through solving human-agentic orchestration. DeepFlow’s platform leverages advanced AI and multi-agent LLM technologies across five critical operational areas: Task Definition and Decomposition: Precisely breaking down complex goals into manageable sub-tasks. Task Delegation and Optimisation: Intelligently … the forefront of workflow management innovation. Our ambitious research vision at DeepFlow is centred on building autonomous agentic systems capable of collaborating in dynamic multi-agent/human teams, transforming complex coordination into a significant human advantage. This endeavour involves cutting-edge research and innovative integration across several highly active fields … of AI and machine learning, including high-capacity multi-modal foundation models, reinforcement learning, and multi-agent collaboration frameworks. Internship Opportunity - Join the ML Team at DeepFlow We are looking for a highly motivated intern to join our ML team led by Dr. Stefano Albrecht (Director of AI More ❯