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AI-Agent Development Co-op
Nokia
USA
Full-time
Mid
Onsite
Discovered 1 weeks ago
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About the Role
We are seeking a highly motivated intern to join our Optical Design Verification Testing (ODVT) team to develop and improve AI agents that support optical test engineers. You will design, build, and iterate on agent workflows that help the team write test plans and test cases, analyze results, search documentation, and automate day-to-day engineering work.
Key Skills for This Role
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Responsibilities
- Design, implement, and refine AI agents that help ODVT engineers write test plans and test cases, analyze results, search documentation, and track work.
- Build and maintain agent skills, prompts, and tool integrations (for example MCP servers and Python helpers) used by the team.
- Improve reliability: reduce invented values, add source traceability, tests, and review gates so agent output is safe for lab and reporting use.
- Partner with optical test engineers to identify high-value automation opportunities and turn them into working agent workflows.
- Document how to use the agents, collect feedback, and measure whether the tools save time or improve quality.
- - Design, implement, and refine AI agents that help ODVT engineers write test plans and test cases, analyze results, search documentation, and track work. - Build and maintain agent skills, prompts, and tool integrations (for example MCP servers and Python helpers) used by the team. - Improve reliability: reduce invented values, add source traceability, tests, and review gates so agent output is safe for lab and reporting use. - Partner with optical test engineers to identify high-value automation opportunities and turn them into working agent workflows. - Document how to use the agents, collect feedback, and measure whether the tools save time or improve quality.
Qualifications
- Proficiency in Python (preferred); additional programming or scripting languages welcome.
- Coursework or project experience with LLMs, AI agents, prompt engineering, retrieval-augmented generation (RAG), or similar.
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