Artificial Intelligence & Cloud Engineer

Join CACI as the prime contractor on a growing program supporting NAVSEA on the Navy Maintenance and Modernization Enterprise Solution (NMMES), a mission-critical program that supports over 45,000 users executing naval ship and submarine maintenance operations worldwide. As an Artificial Intelligence & Cloud Engineer, you will help lay the foundation for future AI/ML initiatives while contributing to broader software development projects.

What You Will Do

Design, build, and deploy Artificial Intelligence (AI) and Machine Learning (ML) solutions, including Generative AI. Implement retrieval systems, safeguards, language models, and evaluation and testing. Integrate retrieval and generation components and follow a CACI agile methodology.

Why It Might Be a Fit

The ideal candidate brings deep technical expertise combined with real-world experience working in non-pristine, legacy-integrated ecosystems, where adaptability, pragmatism, and collaboration are essential. You will work closely with cross-functional teams to gather requirements, design, develop, and implement AI-driven features, seamless integrations, and deployment pipelines.

Requirements

• Active Secret Security Clearance
• Bachelor's degree in computer science, software engineering, or a related field
• 2-5 years of relevant experience in NLP, machine learning, or AI development
• Experience designing agentic flows using supervisor, routing, and hierarchical patterns with frameworks such as LangGraph or equivalent
• Experience with Linux and Linux based terminals
• Understanding of RAG architecture and principles, experience implementing RAG systems, and familiarity with popular RAG frameworks and tools
• Knowledge of security best practices for AI systems
• Strong programming skills, particularly in Python, Javascript, rust, golang
• Experience with vector databases, embedding techniques, and data pipelines
• Experience with information retrieval systems
• Experience with RESTful APIs and Cloud Services (AWS, OCI)
• Experience with data preprocessing, normalization, cleaning, encoding data intvector representations
• Knowledge of text analytics and semantic search techniques
• Experience with prompt engineering
• Experience working with multiple teams in an agile environment, with data scientists, UI/UX designers, and subject matter experts to improve the overall system

Benefits

• healthcare
• wellness
• financial
• retirement
• family support
• continuing education
• time off benefits