AI Engineer

• 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.

This role is ideal for engineers who thrive on variety over deep ownership, value making others successful, and want to shape how the Federal Government adopts AI across diverse mission areas., Required:

• 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.

Desired:

• 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.

Build and deploy production-ready generative AI applications across rotating federal engagements. Responsibilities include developing RAG pipelines, conversational AI, and multi-agent systems; integrating LLMs and cloud services; implementing observability, security, cost controls, and responsible AI guardrails; troubleshooting integrations; training client teams; documenting solutions; and contributing reusable patterns to an AI solution catalog., There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.

Since this position can be worked in more than one location, the range shown is the national average for the position.

The proposed salary range for this position is: $82,100-$172,400

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.

An environment of trust.

CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.

A focus on continuous growth.

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.