AI Engineer

CACI International Inc

. Deliver production-ready AI solutions in 1–2-month rotations, including RAG pipelines, conversational platforms, and multi-agent systems tailored to program missions and technology stacks .

Posted 10/2/2026full-timeUnited StatesMid-LevelSenior💰 $82,100 - $172,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and customizing AI solutions, integrating LLM APIs, and implementing observability and security measures. Proficient in Python/JavaScript development, cloud services, and responsible AI practices.

Highest-signal resume keywords

Python/JavaScript DevelopmentLLM-Powered ApplicationsAWS/Azure/GCP ExperienceRESTful and Event-Driven IntegrationsSecurity Clearance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Production ApplicationsRAG PipelinesPrompt EngineeringVector DatabasesObservability ConceptsCI/CDInfrastructure as Code (IaC)ContainerizationAPI ManagementMachine Learning Concepts

Soft Skills

Strong Communication SkillsAbility to Teach Complex ConceptsPrioritization Under PressureDocumentation CreationClient Engagement

Tools & Technologies

GitGitLabJiraKubernetesTerraformAWS BedrockAzure OpenAICI/CD PipelinesManaged AI ServicesObservability Tools

Certifications & Qualifications

Security+AWS CertificationsTop Secret Clearance

Industry Keywords

DoD MissionsNIST ComplianceATO ComplianceAgentic AI SystemsEmerging GenAI Tools

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformJavaScriptKubernetesPythonReactSwitchingTerraformTypeScript

About the role

Key responsibilities & impact

Deliver production-ready AI solutions in 1–2-month rotations, including RAG pipelines, conversational platforms, and multi-agent systems tailored to program missions and technology stacks
Build and customize AI solutions using vector databases, orchestration frameworks, and managed AI services
Implement observability, security, cost controls, and responsible AI guardrails
Integrate LLM APIs and AI services into existing workflows across cloud and on-premises environments
Configure monitoring and alerting and resolve integration issues
Lead hands-on training, create documentation, and pair-program with teams
Ensure teams can independently operate and evolve AI applications through structured handoff and validation
Improve existing solution templates and create reusable patterns based on field experience
Explore emerging GenAI tools, evaluate federal use-case applicability, and share insights through demos and documentation

Requirements

What you’ll need

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
Ability to monitor AI performance including latency, cost, and quality; address 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 their application to LLM systems
Proven ability to deliver solutions quickly in unfamiliar environments with evolving requirements
Strong communication skills and ability to create documentation and 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 staying current through experimentation and community engagement
Experience with GitLab, Jira, and iterative delivery
Ability to obtain and maintain a Top Secret clearance
Desired: Experience deploying agentic AI systems, observability tools, vector databases, guardrails, embeddings, and structured outputs
Desired: AWS Bedrock/GovCloud, Azure OpenAI, Kubernetes, Terraform, and CI/CD pipeline experience
Desired: Proficiency in JS/TS/Python for front-end/back-end development and frameworks such as React or FastAPI
Desired: Experience leading client engagements, context-switching across projects, and delivering knowledge transfer
Desired: Familiarity with DoD/federal missions, security requirements, and compliance frameworks such as ATO and NIST
Desired: Open-source work, technical writing, conference speaking, or similar community involvement
Desired: Security+, AWS certifications, or other relevant technical credentials

Benefits

Comp & perks

Flexible time off benefit
Robust learning resources
Healthcare benefits
Wellness benefits
Financial benefits
Retirement benefits
Family support benefits
Continuing education benefits
Time off benefits
Competitive compensation
Learning and development opportunities