Sr. Principal Software Engineer

Preferred

• Experience applying Generative AI and Large Language Models (LLMs) to software development, testing, automation, or engineering workflows.
• Experience developing or integrating agentic AI solutions capable of autonomously executing multi-step tasks, interacting with software systems, or orchestrating automated workflows.
• Familiarity with AI/ML frameworks, libraries, and tools such as LangChain, LangGraph, LlamaIndex, Hugging Face, OpenAI APIs, or similar technologies.
• Experience developing AI-enabled automation using LLM APIs, prompt engineering, tool/function calling, retrieval-augmented generation (RAG), or agent-based architectures.
• Experience integrating AI capabilities into software testing, including automated test generation, test-case optimization, defect analysis, test-result evaluation, or intelligent troubleshooting.
• Familiarity with vector databases, embeddings, semantic search, and other technologies used to support LLM and agentic AI applications.
• Experience developing or integrating AI agents with APIs, databases, CI/CD pipelines, developer tools, or other enterprise systems.
• Understanding of responsible AI, AI security, data protection, and the secure deployment and use of LLM- and agent-based applications in enterprise or mission environments.