AI Engineer
CACI International2 days 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 in 1–2-month rotational engagements.
- Build and customize AI solutions using vector databases, orchestration frameworks, managed AI services, and observability practices.
- Integrate LLM APIs and AI services into existing workflows across cloud and on-premises environments.
- Implement responsible AI guardrails, monitoring, alerting, security controls, and cost controls.
- Troubleshoot RESTful and event-driven integrations and resolve operational issues.
- Lead hands-on training, documentation, pair programming, and knowledge-transfer activities.
- Improve solution templates and create reusable patterns based on field experience.
- Validate that teams can independently operate and evolve deployed AI applications.
- Evaluate emerging GenAI tools and share findings through demonstrations and documentation.
Requirements
- Requires 3–5 years of experience building production applications with Python or JavaScript, Git workflows, and modern development practices.
- Requires practical experience with LLM-powered applications, agent patterns, RAG, prompt engineering, vector databases, and observability concepts.
- Requires experience monitoring AI performance, addressing latency, cost, quality, and failure modes, and applying responsible AI practices such as bias detection and guardrails.
- Requires a strong background designing, implementing, and troubleshooting RESTful and event-driven integrations.
- Requires experience with AWS, Azure, or GCP; containerization; CI/CD; infrastructure-as-code concepts; and secure API and key management.
- Requires an understanding of basic ML concepts and their application to LLM systems.
- Requires the ability to deliver quickly in unfamiliar environments, make trade-offs under pressure, and prioritize working solutions.
- Requires strong communication, documentation, teaching, and knowledge-transfer abilities.
- Requires experience with GitLab, Jira, and iterative delivery practices.
- Requires the ability to obtain and maintain a Top Secret clearance.
- Preferred qualifications include agentic AI deployment, observability tools, vector databases, guardrails, embeddings, structured outputs, AWS Bedrock/GovCloud, Azure OpenAI, Kubernetes, Terraform, CI/CD pipelines, React, FastAPI, client engagements, federal or DoD missions, ATO, NIST, open-source work, technical writing, conference speaking, Security+, AWS certifications, or other relevant technical credentials.
Benefits
- Full-time regular employee position with no required travel and no minimum clearance required to start.
- Flexible time off, healthcare, wellness, financial, retirement, family support, continuing education, learning and development, and other time-off benefits.
- The position may be worked in more than one location; the listed salary range is a national average.
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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.