Senior AI/ML Engineer, Generative AI for Software Development

What you'll do

• Design, build, and deploy LLM-powered tools for code generation, debugging, refactoring, and automated test creation.
• Develop retrieval-augmented generation (RAG) pipelines using internal engineering artifacts like codebases and requirements.
• Create agentic workflows that interact with compilers, static analyzers, version control systems, and issue-tracking platforms.
• Apply prompt engineering, fine-tuning, and parameter-efficient adaptation to improve model performance for aerospace use cases.
• Optimize model deployment for secure, on-premises, air-gapped, and classified environments.
• Integrate AI capabilities into developer workflows, including IDE experiences, CI/CD pipelines, and software quality processes.
• Establish evaluation methods and guardrails to measure accuracy, security, reliability, and usability of AI outputs.

What we're looking for

• Bachelor’s degree in Computer Science, Software Engineering, or a related STEM field.
• 5+ years of experience in software engineering, machine learning engineering, or a closely related technical field.
• Hands-on experience developing software solutions in production or operational environments.
• Must be a U.S. Citizen and maintain an active U.S. Government Security Clearance.
• Must be a U.S. Person as defined by export-control regulations.
• Master’s degree in Computer Science, Machine Learning, or a related field (preferred).
• Experience building and deploying LLM-based applications such as RAG systems, AI coding assistants, or agent-based workflows (preferred).
• Strong programming skills in Python and experience with frameworks like PyTorch, Hugging Face, LangChain, or LlamaIndex (preferred).