Senior Machine Learning Engineer Agentic Development

Job Description
We are seeking a hands-on Senior Machine Learning Engineer to design, build, and deploy intelligent agents on our edge devices. These agents will operate autonomously in resource-constrained environments, performing complex tasks like real-time log analysis, on-device computer vision, and secure system-level interactions.

This role requires a unique blend of modern AI development (agentic workflows, LLMs) and classic systems-level domain knowledge. You will be responsible for creating agents that can perceive their environment (through logs, video, and system data), reason, and act securely and efficiently on our custom hardware.

Key Responsibilities

• Design, build, and deploy autonomous agentic systems for resource-constrained edge devices.
• Implement agent capabilities that leverage deep domain knowledge, specifically in:
• Real-time log analysis and anomaly detection.
• Efficient, on-device computer vision (RESUME) model execution and interpretation.
• Interaction with system-level open-sourced tools for data gathering and system monitoring.
• Develop and integrate secure, high-performance communication channels for agent-to-agent (A2A) and management-to-controller (MCP) interactions.
• Implement robust MCP authentication and secure communication protocols for all agent operations.
• Optimize the full agent stack—from the ML model to the application logic—for high performance and low footprint (latency, memory, power) on our target hardware.
• Collaborate with MLOps and firmware teams to create robust deployment and update pipelines for agents in the field.