Software Engineer - AI Agent Development
Role summary
This contract role is for an on-site Software Engineer specializing in AI Agent Development in Santa Clara, CA. The position requires 8+ years of experience in delivering production systems, with deep expertise in software design and architecture, particularly leveraging AI-assisted development tools. The engineer will build AI agents and agentic workflows in production, focusing on tool use, state management, and reliable execution. Experience with Microsoft Azure AI Foundry or similar enterprise AI platforms, strong Python development skills, and practical knowledge of industrial device protocols (Modbus, BACnet, OPC-UA) are essential. Familiarity with digital twin concepts and asset registry systems is also required.
Software Engineer - AI Agent Development
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.
