Artificial Intelligence & Cloud Engineer

Job Title:

Artificial Intelligence & Cloud Engineer

Job Category:
Information Technology

Time Type:
Full time

Minimum Clearance Required to Start:
Secret

Employee Type:
Regular

Percentage of

Travel Required:

Up to 10%

Type of Travel:
Local

* * *

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.

CACI is seeking an Artificial Intelligence & Cloud Engineer to research, design, build, and deploy AI and Machine Learning solutions. As part of our team, you will help lay the foundation for future AI/ML initiatives while contributing to broader software development projects. You will work closely with cross‑functional teams to gather requirements, design, develop, and implement AI‑driven features, seamless integrations, and deployment pipelines across a range of AI/ML use cases, including Generative AI.

This role requires a hands‑on engineer who understands how to operate effectively within a dynamic, high‑change enterprise environment. 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.

• Forward-thinking vision of how RAG can be integrated within a software development lifecycle and business practices, keeping abreast of new developments in RAG, NLP, and related fields.
• Designing and implementing retrieval systems:
  Creating efficient ways to store and quickly access large amounts of relevant information.
• Implementing safeguards:
  Developing mechanisms to prevent the system from retrieving or generating inappropriate or harmful content.
• Developing and fine‑tuning language models:
  Working with large language models to optimize their performance for specific tasks and domains.
• Evaluation and testing:
  Designing and conducting tests to measure the system's accuracy, relevance, and overall performance.
• Integrating retrieval and generation components:
  Ensuring seamless interaction between the retrieval system and the language model.
• Follow a CACI agile methodology, attending daily standups, refinement sessions, and updating agile project management system to ensure transparency.
• Design and implement agentic workflows using supervisor and orchestration patterns with frameworks such as Lang Graph, CrewAI, or similar multi‑agent orchestration tools.
• Establish observability and evaluation pipelines using tools like Langfuse, or similar platforms to monitor, trace, and assess LLM application performance.

• Active Secret Security Clearance (possesses or must be able to obtain).
• 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 Lang Graph 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, Java script, 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 into vector 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.
• Self‑motivated with ability to quickly adapt and learn emerging disciplines and techniques.

• Experience supporting US Navy Cyber Risk Management Framework governed environments.
• Familiarity with large‑scale program…