AI Software Engineer – Agents (ACE)

Voyager Technologies is an innovative defense, national security and space technology company committed to advancing transformative solutions. They are seeking an AI Software Engineer – Agents to design, implement, and maintain AI agents that behave like focused junior engineers, integrating them into the Agentic Computational Engineering platform.

Responsibilities

• Design, implement, and deploy production-ready AI agents using frameworks such as LangGraph or Agent Development Kits from Google, OpenAI, or Anthropic
• Define clear agent roles, goals, and capabilities, including prompts, tool schemas, and decision-making loops (e.g., ReAct, plan-and-solve)
• Develop and maintain Model Context Protocol (MCP) servers that expose Voyager’s internal systems (PLM, ERP, simulation, repositories) to agents
• Integrate external and internal engineering tools (e.g., Ansys, Altium, SolidWorks, Python toolchains) as robust, secure agent tools
• Build evaluation suites and benchmarks that measure agent performance on realistic tasks (e.g., exam-style physics problems, PCB routing, CAD edits)
• Collaborate closely with domain experts to encode manufacturing, test, and safety constraints directly into agent behavior
• Use LLMs as a development accelerator for scaffolding code, writing tests, and generating documentation for agent systems

Skills

• 1–5 years of professional software engineering experience (exceptional new graduates and early-career engineers encouraged to apply)
• Strong proficiency in Python and experience building backend services and APIs or ability to rapidly learn (REST/gRPC)
• Hands-on experience building LLM-powered agents or tools using frameworks such as LangChain/LangGraph or similar (professional, research, or serious personal projects)
• Demonstrated habit of using LLMs and agents to accelerate development rather than writing all boilerplate by hand
• Experience designing and documenting clean, versioned APIs and data schemas
• Bachelor's degree in Computer Science, Engineering, Physics, Mathematics, or a related field; or equivalent experience
• Ability to read and reason about schematics, mechanical drawings, and technical documentation
• Portfolio of personal projects involving robotics, 3D printing, electronics, or other physical-world builds
• Experience building internal tooling for engineering, R&D, or manufacturing organizations
• The strongest candidates will provide links to outstanding work (or descriptions when not possible to link) and evidence of experience and passion for leveraging agentic teams for rapid development

Benefits

• Competitive salary
• Discretionary annual bonus plan
• Paid time off (PTO)
• Comprehensive health benefit package
• Retirement savings
• Wellness program
• Various other benefits

Company Overview