AI SW Integration Engineer

Summary

The AI SW Integration Engineer will develop backend tools and services that automate test generation, improve requirements traceability, and streamline engineering workflows across teams. The role requires strong expertise in generative AI and large language models (LLMs), with hands-on experience designing and deploying agentic AI systems end-to-end. You will integrate tools and databases via REST APIs, parse structured documents, and build automation solutions using Python and CI/CD pipelines. The ideal candidate brings 3–5 years of production experience developing automation or integration tools, plus familiarity with RAG, MCP, and requirements management workflows.