AI Engineer

CACI International Inc is seeking an AI Engineer to join its AI Center of Excellence and support the integration and scaling of AI across mission, program, and business operations. The role delivers rapid, production-ready AI solutions through rotational engagements, including RAG pipelines, conversational AI platforms, and multi-agent systems, while transferring knowledge and developing reusable patterns.

Responsibilities

• **Rapid AI Application Delivery:** Deliver production-ready AI solutions in 1–2‑month rotations, including RAG pipelines, conversational platforms, and multi‑agent systems tailored to each program’s mission and tech stack
• **GenAI Implementation:** Build and customize AI solutions using vector databases, orchestration frameworks, and managed AI services while implementing observability, security, and cost controls
• **Integration & Operationalization:** Integrate LLM APIs and AI services into existing workflows; apply responsible AI guardrails; configure monitoring/alerting; and resolve integration issues across cloud and on‑prem environments
• **Knowledge Transfer & Enablement:** Lead hands‑on training, create documentation, and pair‑program with teams to ensure they can independently operate and evolve AI applications
• **Solution Catalog Contributions:** Improve existing templates, create reusable patterns, and document new techniques based on field experience
• **Operational Validation:** Confirm teams reach full operational independence through structured handoff and validation processes
• **Continuous Learning:** Explore emerging GenAI tools, evaluate federal use‑case applicability, and share insights through demos and documentation

Preferred

• hands‑on experimentation preferred
• Experience deploying agentic AI systems, using observability tools, vector databases, guardrails, embeddings, and structured outputs
• AWS (Bedrock/GovCloud), Azure OpenAI, Kubernetes, Terraform, and CI/CD pipeline experience
• Proficiency in JS/TS/Python for front‑end/back‑end development and modern frameworks like React or FastAPI
• Experience leading client engagements, context‑switching across projects, and delivering strong knowledge transfer
• Familiarity with DoD/federal missions, security requirements, and compliance frameworks (ATO, NIST)
• History of open‑source work, technical writing, conference speaking, or similar community involvement
• Security+, AWS certifications, or other relevant technical credentials
• Agentic AI Deployment
• Observability Tools
• Embeddings
• Structured Outputs
• AWS Bedrock
• AWS GovCloud
• Azure OpenAI
• Kubernetes
• Terraform
• CI/CD Pipelines
• TypeScript
• Frontend Development
• Backend Development
• React
• FastAPI
• DoD Mission Familiarity
• Federal Mission Familiarity
• Security Requirements
• ATO Compliance
• NIST Frameworks
• Open-Source Contributions
• Technical Writing
• Conference Speaking
• Security+ Certification
• AWS Certifications
• Technical Credentials
• Experimentation
• Client Leadership
• Knowledge Transfer

Benefits

• A unique flexible time off benefit
• Robust learning resources
• Healthcare benefits
• Wellness benefits
• Financial benefits
• Retirement benefits
• Family support benefits
• Continuing education benefits
• Time off benefits

Company

• National security technology and expertise for government missions
• Reston, Virginia, USA
• https://www.caci.com/
• Founded in 1962
• 10001+ employees

Qualifications

• 3–5 years building production applications with Python/JavaScript, Git workflows, and modern development practices
• Practical experience with LLM‑powered apps, agent patterns, RAG, prompt engineering, vector databases, and observability concepts
• Monitor AI performance (latency, cost, quality), address common failure modes, and apply responsible AI practices such as bias detection and guardrails
• Strong background designing, implementing, and troubleshooting RESTful and event‑driven integrations
• Experience with AWS/Azure/GCP, containerization, CI/CD, IaC concepts, and secure API/key management
• Understanding of basic ML concepts and how they apply to LLM systems
• Proven ability to deliver solutions quickly in unfamiliar environments with evolving requirements
• Strong communication skills and ability to create clear documentation and teach complex AI concepts
• Ability to make trade‑offs under pressure, prioritize working solutions, and leverage reusable templates
• Active user of modern AI tools; stays current through experimentation and community engagement
• Experience with GitLab, Jira, and iterative delivery
• Ability to obtain and maintain a up to a Top Secret clearance
• Hands‑on experimentation preferred
• Experience deploying agentic AI systems, using observability tools, vector databases, guardrails, embeddings, and structured outputs
• AWS (Bedrock/GovCloud), Azure OpenAI, Kubernetes, Terraform, and CI/CD pipeline experience
• Proficiency in JS/TS/Python for front‑end/back‑end development and modern frameworks like React or FastAPI
• Experience leading client engagements, context‑switching across projects, and delivering strong knowledge transfer
• Familiarity with DoD/federal missions, security requirements, and compliance frameworks (ATO, NIST)
• History of open‑source work, technical writing, conference speaking, or similar community involvement
• Security+, AWS certifications, or other relevant technical credentials
• 3–5 years building production applications with Python/JavaScript, Git workflows, and modern development practices.

Required skills

• Python, JavaScript/TypeScript, LLM-Powered Applications, Agentic AI Systems, Retrieval-Augmented Generation (RAG), Prompt Engineering, Vector Databases, RESTful and Event-Driven Integrations, Cloud Platforms (AWS/Azure/GCP), Containerization, CI/CD, Infrastructure as Code (IaC), Git/GitLab, Kubernetes, Terraform, Client Engagement

Preferred skills

• hands‑on experimentation preferred

Experience

• 3+ years