The Opportunity:
CACI is seeking a AI Engineer to join our AI Center of Excellence, part of a fast-moving CTO organization driving the integration and scaling of AI across CACI's mission, program, and business operations.
AI Engineer delivering rapid, high-impact AI solutions across diverse programs. This is a rapid, prototype development role —you'll support different programs in 1-2 month rotational engagements, deploying working AI applications, establishing best practices, and transferring knowledge to make teams operationally independent. You'll work hands-on with cutting-edge GenAI technologies—building RAG pipelines, deploying conversational AI platforms, implementing multi-agent systems—while leveraging our solution catalog of battle-tested templates. Between engagements, you'll contribute your field learnings back to the catalog, creating reusable patterns that accelerate AI adoption across CACI.
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.
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.
Qualifications:
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.
What You Can Expect:
A culture of integrity.
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.
Pay Range:
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-$172,400CACI is an Equal Opportunity Employer. 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.
Skills Required
- 3-5 years building production applications with Python or JavaScript, Git workflows, and modern development practices
- Hands-on experience with LLM-powered applications, agent patterns, RAG, prompt engineering, vector databases, and observability concepts
- Experience monitoring AI performance, addressing failure modes, and applying responsible AI practices such as bias detection and guardrails
- Strong background designing, implementing, and troubleshooting RESTful and event-driven integrations
- Experience with AWS, Azure, or GCP; containerization; CI/CD; Infrastructure as Code concepts; and secure API/key management
- Understanding of basic machine learning concepts and their application to LLM systems
- Ability to deliver solutions quickly in unfamiliar environments with evolving requirements
- Strong communication skills, documentation ability, and ability to teach complex AI concepts
- Ability to make trade-offs under pressure, prioritize working solutions, and leverage reusable templates
- Active use of modern AI tools and ongoing experimentation and community engagement
- Experience with GitLab, Jira, and iterative delivery
- Ability to obtain and maintain up to a Top Secret clearance
- Experience deploying agentic AI systems, observability tools, vector databases, guardrails, embeddings, and structured outputs
- AWS Bedrock or GovCloud, Azure OpenAI, Kubernetes, Terraform, and CI/CD pipeline experience
- Proficiency in JavaScript, TypeScript, or Python for front-end/back-end development and frameworks such as React or FastAPI
- Experience leading client engagements, context-switching across projects, and delivering knowledge transfer
- Familiarity with DoD or federal missions, security requirements, and compliance frameworks such as ATO and NIST
- Open-source work, technical writing, conference speaking, or similar community involvement
- Security+, AWS certifications, or other relevant technical credentials
CACI International Inc Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about CACI International Inc and has not been reviewed or approved by CACI International Inc.
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Healthcare Strength — Pay is supported by a broad set of health-plan options across multiple national carriers, with telemedicine and tax-advantaged accounts included. Dental and vision choices are also described as multi-option, which strengthens overall coverage breadth.
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Leave & Time Off Breadth — Flexible Time Off is available for many salaried-exempt roles, while hourly roles accrue PTO, creating multiple time-off pathways by employment class. Paid disability coverage, fixed holidays, and paid leave programs (including parental leave and other leave types) further round out time-off and leave coverage.
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Retirement Support — Retirement support includes a 401(k) match structure described as 50% up to 8% of pay (effective 4%) and an Employee Stock Purchase Plan with a discount. Tuition reimbursement and certification support also add to the overall rewards package that complements core retirement benefits.
CACI International Inc Insights
What We Do
CACI’s approximately 23,000 talented employees are vigilant in providing the unique expertise and distinctive technology that address our customers’ greatest enterprise and mission challenges. Our culture of good character, innovation, and excellence drives our success and earns us recognition as a Fortune World's Most Admired Company. As a member of the Fortune 1000 Largest Companies, the Russell 1000 Index, and the S&P MidCap 400 Index, we consistently deliver strong shareholder value. Visit us at www.caci.com.









