CACI International Inc
CACI International Inc
CACI International Inc yra Jungtinėse Amerikos Valstijose veikianti vyriausybinių užsakymų rangovė, teikianti paslaugas nacionalinio saugumo, gynybos ir federalinės civilinės valdžios klientams. Jos komandos kuria ir palaiko technologijas bei profesionalias paslaugas, apimančias kibernetinį saugumą, skaitmenines operacijas, įmonių IT modernizavimą, elektroninį karą, kovą su bepiločių sistemų grėsmėmis, kosminį ir optinį ryšį, „DevSecOps“ programinę įrangą, misijų inžineriją ir logistiką. Būdama viena pagrindinių rangovų, CACI derina programinę įrangą, analitiką, jutiklius ir aparatinę įrangą, kad padėtų vyriausybinėms organizacijoms spręsti kylančių grėsmių problemas ir modernizuoti sudėtingas technologijų architektūras.

AI Engineer – CACI International – Denver Onsite

Build and deploy RAG, conversational AI, and multi-agent applications for CACI International’s federal programs. Rotate across engagements to operationalize solutions, train delivery teams, and transfer AI expertise.

Aprašymas

  • Deliver production-ready AI solutions during 1–2-month rotations, including mission-aligned RAG pipelines, conversational platforms, and multi-agent systems
  • Develop and tailor AI applications with vector databases, orchestration frameworks, and managed AI services
  • Add observability, security controls, cost management, and responsible AI safeguards to deployed solutions
  • Connect LLM APIs and AI services with established workflows across cloud and on-premises environments
  • Set up monitoring and alerting while diagnosing and resolving integration problems
  • Provide hands-on training, produce technical documentation, and collaborate through pair programming
  • Complete structured handoffs and validation so teams can operate and enhance AI applications independently
  • Refine existing solution templates and develop reusable implementation patterns from field experience
  • Assess emerging generative AI tools for federal use cases and share findings through demonstrations and documentation

Reikalavimai

  • 3–5 years of experience building production applications with Python or JavaScript, Git workflows, and modern development practices
  • Hands-on experience with LLM applications, agent patterns, retrieval-augmented generation, prompt engineering, vector databases, and observability
  • Ability to track AI latency, cost, and quality, troubleshoot failure modes, and apply responsible AI measures such as bias detection and guardrails
  • Strong experience designing, implementing, and troubleshooting RESTful and event-driven integrations
  • Experience with AWS, Azure, or GCP; containers; CI/CD; infrastructure as code; and secure API and key management
  • Working knowledge of foundational machine learning concepts and their use in LLM systems
  • Demonstrated ability to deliver quickly in unfamiliar environments with changing requirements
  • Strong communication skills, including documenting and teaching complex AI concepts
  • Ability to weigh trade-offs under pressure, prioritize usable solutions, and apply reusable templates
  • Active use of current AI tools through experimentation and community engagement
  • Experience with GitLab, Jira, and iterative delivery methods
  • Ability to obtain and maintain a Top Secret clearance
  • Experience deploying agentic AI systems and using observability tools, vector databases, guardrails, embeddings, and structured outputs
  • Experience with AWS Bedrock or GovCloud, Azure OpenAI, Kubernetes, Terraform, and CI/CD pipelines
  • Proficiency in JavaScript, TypeScript, or Python for front-end and back-end development, with frameworks such as React or FastAPI
  • Experience leading client engagements, switching between projects, and delivering knowledge transfer
  • Familiarity with Department of Defense or federal missions, security requirements, and frameworks such as ATO and NIST
  • Open-source contributions, technical writing, conference speaking, or comparable community involvement
  • Security+, AWS certifications, or other relevant technical credentials

Privalumai

  • Flexible paid time off
  • Extensive learning resources
  • Healthcare coverage
  • Wellness programs
  • Financial benefits
  • Retirement programs
  • Family support programs
  • Continuing education support
  • Additional time-off benefits
  • Competitive compensation
  • Learning and development opportunities

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