CACI is hiring an AI Engineer for its AI Center of Excellence in Denver, CO (onsite).

Deliver production-ready GenAI applications during 1–2 month rotational engagements, aligned to each program’s mission and technology stack.
Implement RAG pipelines, conversational AI platforms, and multi-agent systems.
Build and tailor solutions using vector databases, orchestration frameworks, and managed AI services.
Operationalize applications with observability, security, and cost controls.
Integrate LLM APIs and AI services into existing workflows across cloud and on-prem environments.
Apply responsible AI guardrails, configure monitoring and alerting, and troubleshoot integration issues.
Lead hands-on training, produce documentation, and pair-program with teams to enable independent operation and evolution of AI apps.
Refine existing templates, create reusable patterns, and document new techniques based on field experience.
Confirm operational independence through structured handoff and validation processes.
Evaluate emerging GenAI tools, assess federal use-case fit, and share insights via demos and documentation.

3–5 years building production applications with Python/JavaScript, Git workflows, and modern development practices.
Hands-on experience with LLM-powered applications, agent patterns, RAG, prompt engineering, vector databases, and observability concepts.
Ability to monitor AI performance (latency, cost, quality), handle common failure modes, and apply responsible AI practices (including 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 as they apply to LLM systems.
Proven ability to deliver solutions quickly in unfamiliar environments with evolving requirements.
Strong communication skills, including creating clear documentation and teaching complex AI concepts.
Ability to make trade-offs under pressure, prioritize working solutions, and leverage reusable templates.
Active user of modern AI tools with ongoing experimentation and community engagement.
Experience with GitLab, Jira, and iterative delivery.
Ability to obtain and maintain a Top Secret clearance.

Experience deploying agentic AI systems, using observability tools, vector databases, guardrails, embeddings, and structured outputs.
Experience with AWS (Bedrock/GovCloud), Azure OpenAI, Kubernetes, Terraform, and CI/CD pipelines.
Proficiency in JS/TS/Python for front-end/back-end development and modern frameworks such as React or FastAPI.
Experience leading client engagements, switching context across projects, and delivering strong knowledge transfer.
Familiarity with DoD/federal missions, security requirements, and compliance frameworks (ATO, NIST).
Experience contributing to open-source, technical writing, conference speaking, or similar community involvement.
Security+ or AWS certifications, or other relevant technical credentials.

Salary range: USD 82,100 - 172,400 per year

AI Engineer

Job Description