AI SW Integration Engineer

Position Summary:

The scope of this role focuses on developing integration and automation solutions to streamline engineering and validation workflows across multiple teams. The ideal candidate will build backend tools and services that automate test generation, improve requirements traceability, and optimize team workflows.

Key Qualifications:

• Strong understanding of generative AI models, particularly large language models (LLMs)
• Experience designing and deploying agentic AI systems end-to-end
• Familiarity with Agentic Development and surrounding technologies such as RAG & MCP
• Familiar with AI-native workflow automation through Skills-based systems
• Proficiency developing backend or automation services (Python preferred)
• Experience integrating tools or databases using REST APIs or webhooks
• Familiarity with structured document parsing (Word, PDF, XML, JSON, etc.)
• Experience with CI/CD pipelines and automated testing frameworks
• Understanding of requirements management and validation workflows

Bonus Qualifications:

• Experience with NLP or text-processing automation
• Knowledge of Cloud Platforms (AWS, Azure, or Google Cloud Platform)
• Experience with Containers and Orchestration (Docker, Kubernetes, etc.)
• Strong problem-solving skills with a passion for tackling new challenges

Education and Experience:

• M.S. or Ph.D. in Computer Engineering, Electrical Engineering, Computer Science, or equivalent experience.
• 3–5 years of experience developing automation or integration tools in production environments