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About the Role
CACI is seeking an AI Engineer to join its AI Center of Excellence, a fast-moving CTO organization focused on integrating and scaling AI across CACI's operations. This role involves rapid, prototype development, supporting diverse programs in 1-2 month rotational engagements to deploy working AI applications, establish best practices, and transfer knowledge. You will work hands-on with cutting-edge GenAI technologies, building RAG pipelines, deploying conversational AI platforms, and implementing multi-agent systems. Between engagements, you will contribute field learnings to a solution catalog, creating reusable patterns to accelerate AI adoption. This role is ideal for engineers who thrive on variety, value enabling others, and want to shape the Federal Government's adoption of AI.
Responsibilities
- 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.
- Build and customize AI solutions using vector databases, orchestration frameworks, and managed AI services while implementing observability, security, and cost controls.
- 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.
- Lead hands‑on training, create documentation, and pair‑program with teams to ensure they can independently operate and evolve AI applications.
- Improve existing templates, create reusable patterns, and document new techniques based on field experience.
- Confirm teams reach full operational independence through structured handoff and validation processes.
- Explore emerging GenAI tools, evaluate federal use‑case applicability, and share insights through demos and documentation.
Requirements
- 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; hands‑on experimentation preferred.
- 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.
- 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.
Skills
- Python
- JavaScript
- Git workflows
- LLM-powered apps
- Agent patterns
- RAG
- Prompt engineering
- Vector databases
- Observability concepts
- RESTful integrations
- Event-driven integrations
- AWS
- Azure
- GCP
- Containerization
- CI/CD
- IaC concepts
- Secure API/key management
- ML concepts
- GitLab
- Jira
- Iterative delivery
- JS/TS/Python
- React
- FastAPI
- DoD/federal missions
- NIST
Location
- Remote
Work Type
- Full time
Experience Level
- 3-5 years
Education Level
- Security+ certification
- AWS certification
Salary/Compensations
- $82,100-$172,400
Benefits
- Flexible time off
- Robust learning resources
- Competitive compensation
- Competitive benefits
- Learning and development opportunities
- Comprehensive benefits
- Healthcare
- Wellness
- Financial
- Retirement
- Family support
- Continuing education
- Time off benefits
About the Company
- At CACI, we place character and innovation at the center of everything we do.
- As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation.
- CACI values the unique contributions that every employee brings to our company and our customers - every day.
- Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy.
Equal Opportunity
- All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.