Design and build AI assistant workflows and tool-using agents that connect to platform APIs, engineering data, documents, and automation. Develop knowledge-ingestion pipelines, evaluation datasets, workflow templates, and integrations enabling agents to call real tools and produce traceable, reviewable outputs. Create tests to ensure correctness, usefulness, and safety.
Job Summary & Responsibilities
- Build AI assistant workflows for engineering setup, troubleshooting, review, and knowledge retrieval.
- Connect tool-using agents to platform APIs, engineering data, documents, and automation workflows.
- Develop knowledge-ingestion pipelines for engineering practices, process rules, requirements, and
reusable workflow patterns.
- Create evaluation datasets and tests to verify assistant correctness, usefulness, and safety.
- Build workflow templates that help engineering teams standardize repeated tasks across programs.
- Develop integrations that let AI agents call real tools and return traceable, reviewable results.
AI Agents & Engineering Workflows
Experience: 2-4 years
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