Artificial Intelligence & Cloud Engineer

Job summary

CACI is seeking an Artificial Intelligence & Cloud Engineer to research, design, build, and deploy AI and ML solutions. This role involves contributing to broader software development projects, working with cross-functional teams to implement AI-driven features, seamless integrations, and deployment pipelines across various AI/ML use cases, including Generative AI. The ideal candidate will have deep technical expertise and experience operating effectively within dynamic, high-change enterprise environments.

Benefits

Qualifications

• Active Secret Security Clearance or ability to obtain one.
• 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 like LangGraph.
• 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 in Python, Javascript, Rust, or 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, and 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, including data scientists, UI/UX designers, and subject matter experts.
• Self-motivated with ability to quickly adapt and learn emerging disciplines and techniques.
• Experience supporting US Navy Cyber Risk Management Framework governed environments (desired).
• Familiarity with large-scale program environments like AWS GOV Cloud or Bluewater (desired).
• Experience working alongside third-party vendors with limited enterprise execution capability (desired).

Responsibilities

• Develop a forward-thinking vision for RAG integration within software development lifecycle and business practices.
• Stay updated on new developments in RAG, NLP, and related fields.
• Design and implement efficient retrieval systems for large amounts of information.
• Develop safeguards to prevent inappropriate or harmful content generation.
• Develop and fine-tune language models for specific tasks and domains.
• Design and conduct tests to measure system accuracy, relevance, and performance.
• Ensure seamless interaction between retrieval systems and language models.
• Follow CACI agile methodology, including daily standups and refinement sessions.
• Update agile project management systems for transparency.
• Design and implement agentic workflows using supervisor and orchestration patterns with frameworks like LangGraph or CrewAI.
• Establish observability and evaluation pipelines using tools like Langfuse to monitor and assess LLM application performance.

Skills

Degrees

Travel

Security clearance

Relocation