AI Engineer
CACI International1 day ago
Reston, VA, USA or Denver, CO, USAMid Level / Senior
H1B sponsor
Base Salary
$82k - $172k/yr
Responsibilities
- Deliver production-ready RAG pipelines, conversational AI platforms, and multi-agent systems during 1–2-month program rotations.
- Build and customize generative AI solutions using vector databases, orchestration frameworks, managed AI services, observability, security, and cost controls.
- Integrate LLM APIs and AI services across cloud and on-premise workflows, including monitoring, alerting, responsible AI guardrails, and troubleshooting.
- Lead hands-on training, documentation, pair programming, and structured handoffs so teams can independently operate AI applications.
- Improve solution templates, create reusable implementation patterns, and document techniques learned through field engagements.
- Evaluate emerging generative AI tools and federal use cases through experimentation, demonstrations, and documentation.
Requirements
- 3–5 years of experience 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 latency, cost, quality, and failure modes, and applying responsible AI practices such as bias detection and guardrails.
- Experience designing, implementing, and troubleshooting RESTful and event-driven integrations.
- Experience with AWS, Azure, or GCP; containerization; infrastructure-as-code concepts; CI/CD; and secure API and key management.
- Understanding of basic machine learning concepts and their application to LLM systems.
- Ability to deliver solutions quickly in unfamiliar environments, manage evolving requirements, make trade-offs, and use reusable templates.
- Strong communication, documentation, teaching, and knowledge-transfer skills.
- Experience with GitLab, Jira, and iterative delivery practices.
- Ability to obtain and maintain a Top Secret clearance.
- Preferred experience includes agentic AI systems, observability tools, vector databases, guardrails, embeddings, structured outputs, AWS Bedrock/GovCloud, Azure OpenAI, Kubernetes, Terraform, React, FastAPI, and JS/TS/Python front-end or back-end development.
- Preferred qualifications include client engagement leadership, federal or DoD mission familiarity, ATO/NIST knowledge, open-source or technical writing experience, conference speaking, Security+, AWS certifications, or other relevant technical credentials.
Benefits
- Comprehensive healthcare, wellness, financial, retirement, family support, continuing education, and time-off benefits.
- Flexible time off and flexible work arrangements supporting work-life balance.
- Learning resources and professional development opportunities.
- Full-time regular employee position with no required travel stated.
Categories
About CACI International
CACI International is a public government contractor that delivers enterprise IT, cybersecurity, electronic warfare, space, and intelligence solutions to U.S. defense, intelligence, and federal civilian customers. It provides systems engineering, software and data services, and mission support across C4ISR and business systems, primarily through long-term government contracts. Founded in 1962 and headquartered in Reston, Virginia, CACI trades on the NYSE under the ticker CACI.