Applied AI Engineer / Agentic AI Engineer
Role summary
This is a contract role for an Applied AI Engineer / Agentic AI Engineer based on-site in Santa Clara, CA. The role requires 8+ years of software engineering experience with deep expertise in software design and architecture, specifically focusing on AI-assisted development. The engineer will build production AI agents and agentic workflows, leveraging platforms like Microsoft Azure AI Foundry. Key responsibilities include developing in Python, integrating with industrial device protocols (Modbus, BACnet, OPC-UA), and managing digital twin concepts. Experience with OT protocols and data center infrastructure is preferred.
Applied AI Engineer / Agentic AI Engineer
Contract
On-site, Santa Clara, CA
Required Qualifications
• 8 or more years of professional software engineering experience, with a demonstrated record of delivering production systems.
• Deep expertise in software design and architecture. This role involves substantial use of AI-assisted development tooling, and success depends on the ability to produce precise, unambiguous specifications that can be implemented reliably and verified against clear acceptance criteria.
• Hands-on experience building AI agents or agentic workflows in production environments, including tool use, state management, and reliable execution under real-world conditions.
• Practical experience with Microsoft Azure AI Foundry or a directly comparable enterprise AI platform for building and deploying agent-based services.
• Strong Python development skills. Agent services will be built primarily in Python and must be well-structured for extensibility and long-term maintainability.
• Demonstrated experience working with industrial device protocols, specifically Modbus, BACnet, and OPC-UA. The contractor must be able to build agent integrations that communicate with physical devices accurately and reliably.
• Experience working with digital twin concepts or asset registry systems, including the challenges of keeping a software representation of a physical environment consistent overtime.
Preferred Qualifications
• Experience with additional OT protocols such as MQTT/Sparkplug-B or DNP3.
• Background in data center infrastructure, facilities management systems, or DCIMplatforms.
• Familiarity with automated device discovery and configuration extraction across heterogeneous hardware environments.
• Experience designing agentic systems that operate with human-in-the-loop approval workflows in safety-sensitive or operationally critical contexts.