Software Engineer - AI Agent Development

Santa Clara, CA, US • Posted 9 hours ago • Updated 8 hours ago
Contract W2
Contract Corp To Corp
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Software Engineering
  • Software Design
  • Management
  • Microsoft Azure
  • Artificial Intelligence
  • Python
  • Modbus
  • OPC
  • MQTT
  • Facility Management
  • Extraction
  • Computer Hardware
  • SANS
  • Workflow

Summary

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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10236892
  • Position Id: OOJ - 4550-3551-1774996398
  • Posted 9 hours ago
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