Senior AI Engineer

A venture-backed Physical AI company based in San Francisco is partnering with us to hire an AI Engineer to work on cutting-edge multi-modal AI agent systems. This team is building intelligence that can perceive, reason, and act in the physical world by combining large language models, vision models, and real-world data streams.About the RoleThis role sits at the intersection of AI research and production engineering, focusing on building robust agent architectures capable of reasoning across text, images, video, and sensor inputs.ResponsibilitiesDesign and develop multi-modal AI agents capable of reasoning across text, vision, and sensor dataBuild agent architectures leveraging vision models, and tool-use frameworksImplement planning, memory, and decision-making pipelines for autonomous systemsDevelop scalable inference pipelines for real-time AI applicationsWork on integrating AI models with physical systems, robotics, or sensor environmentsOptimize models and systems for latency, reliability, and real-world deploymentCollaborate with cross-functional teams to bring AI systems from research to productionQualificationsStrong experience building AI agents or agentic systemsHands-on experience with multi-modal AI models (LLMs + Vision / Video / Sensor data)Strong Python skills and experience with PyTorch or similar deep learning frameworksExperience with LLM orchestration frameworks (LangChain, LlamaIndex, Semantic Kernel, or similar)Experience working with tool-using agents, planning frameworks, or autonomous workflowsFamiliarity with distributed systems or production ML systemsRequired SkillsStrong experience building AI agents or agentic systemsHands-on experience with multi-modal AI models (LLMs + Vision / Video / Sensor data)Strong Python skills and experience with PyTorch or similar deep learning frameworksExperience with LLM orchestration frameworks (LangChain, LlamaIndex, Semantic Kernel, or similar)Experience working with tool-using agents, planning frameworks, or autonomous workflowsFamiliarity with distributed systems or production ML systemsPay range and compensation packageThe role is offering a salary of up to $300,000 per annum and will work on a hybrid working schedule. The role will come with a significant equity portion also.