Senior Gen AI Developer
Senior Gen AI Developer Belong. Connect. Grow. with KBR! KBR's National Security Solutions team provides high-end engineering and advanced technology solutions to our customers in the intelligence and national security communities. In this position, your work will have a profound impact on the country's most critical role - protecting our national security. KBR is seeing a Senior Gen AI Developer to join our team in El Segundo, CA (remote). The MILSATCOM Systems Engineering, Integration, and Test (MSEIT) effort provides leading edge Systems Engineering & Integration (SE&I) for the US Space Force's Space Systems Center (SSC). We support the Space Force's acquisition of state-of-the-art satellite communications systems, providing global secure, survivable, and protected communications for our nation's warfighters. We seek technical individuals who will thrive in a highly collaborative work environment of small teams, using the most modern tools and methodologies to tackle the challenges of integrating complex space and ground communications systems. Why Join Us?
- Innovative Projects: KBR's work is at the forefront of engineering, logistics, operations, science, program management, mission IT and cybersecurity solutions.
- Collaborative Environment: Be part of a dynamic team that thrives on collaboration and innovation, fostering a supportive and intellectually stimulating workplace.
- Impactful Work: Your contributions will be pivotal in designing and optimizing defense systems that ensure national security and shape the future of space defense.
- Location: El Segundo, CA (Work-from-home flexibility with on-site support as required)
- Travel Requirements: Minimal
- Working Hours: Standard
- Ability to obtain and maintain a Secret security clearance
- Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical discipline
- 15+ years of software development experience, including 3+ years building generative AI or LLM-powered applications
- Strong proficiency in Python for AI/ML development, data processing, and automation
- Hands-on experience designing, developing, and deploying applications using large language models (LLMs)
- Proven experience building and optimizing Retrieval-Augmented Generation (RAG) pipelines using embeddings, vector databases, and semantic search
- Experience with prompt engineering, LLM orchestration, and developing agent-based workflows
- Familiarity with LLM frameworks such as LangChain, LlamaIndex, or Semantic Kernel
- Experience integrating AI solutions with enterprise data sources, APIs, and knowledge graphs
- Ability to evaluate and fine-tune model outputs for quality, bias, explainability, and performance
- Experience deploying and maintaining applications in cloud-native environments (Azure, Kubernetes, CI/CD pipelines)
- Solid understanding of software development lifecycle (SDLC) and DevOps practices for production AI systems
- Master's in Computer Science, Artificial Intelligence, or a related field
- Experience integrating knowledge graphs and graph databases (e.g., Neo4j, ArangoDB) into LLM-driven applications
- Exposure to multi-modal AI models (text, image, audio) and their application in real-world systems
- Experience building custom LLM evaluation pipelines and benchmarking frameworks
- Familiarity with model optimization techniques or edge deployment for constrained environments
- Experience deploying AI solutions in defense, government, or other high-security environments
- Knowledge of responsible AI practices, including bias mitigation, explainability, and governance
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