Junior Gen AI Developer

KBR, Inc.•El Segundo, CA

1d•Onsite

About The Position

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 Junior Gen AI Developer to join our team in El Segundo, CA. 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.

Requirements

Ability to obtain and maintain a Secret security clearance
Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical discipline (or degree in progress)
Software development experience, including academic projects, internships, or co-op experience related to generative AI or LLM-powered applications
Proficiency in Python for AI/ML development, data processing, and automation through coursework, projects, or internships
Hands-on exposure to designing, developing, or prototyping applications using large language models (LLMs) through projects, labs, or internships
Foundational understanding of Retrieval-Augmented Generation (RAG) concepts, including embeddings, vector databases, and semantic search, demonstrated through coursework or projects
Exposure to prompt engineering, basic LLM orchestration, or agent-style workflows through academic or personal projects
Familiarity with LLM frameworks such as LangChain, LlamaIndex, or Semantic Kernel through hands-on learning or experimentation

Nice To Haves

Master’s degree coursework or ongoing study in Computer Science, Artificial Intelligence, or a related field
2+ years software development experience, including academic projects, internships, or co-op experience related to generative AI or LLM-powered applications
Familiarity with multi-modal AI models (text, image, audio) through academic research or side projects
Experience or interest in basic LLM evaluation techniques, testing methodologies, or benchmarking concepts
Interest in or exposure to defense, government, or high-security technology environments
Awareness of responsible AI principles, including bias mitigation, explainability, and ethical AI practices

Responsibilities

Ability to assess model outputs for correctness, relevance, and potential bias, with guidance from senior team members
Introductory experience deploying applications or services using cloud platforms or containerized environments (Azure exposure preferred)
Understanding of software development lifecycle (SDLC) fundamentals and collaborative development practices (e.g., Git, code reviews)