CACI International Inc
CACI International Inc
CACI International Inc — milliy xavfsizlik, mudofaa va federal fuqarolik tashkilotlariga xizmat ko‘rsatuvchi AQShda joylashgan davlat pudratchisidir. Uning jamoalari kiberxavfsizlik, raqamli operatsiyalar, korporativ IT infratuzilmasini modernizatsiya qilish, elektron urush, uchuvchisiz tizimlarga qarshi yechimlar, kosmik va optik aloqa, DevSecOps dasturiy ta’minoti, missiya muhandisligi hamda logistika kabi yo‘nalishlarda texnologiyalar va professional xizmatlarni ishlab chiqadi va qo‘llab-quvvatlaydi. Yirik bosh pudratchi sifatida CACI dasturiy ta’minot, tahliliy vositalar, sensor texnologiyalari va apparat vositalarini birlashtirib, davlat tashkilotlariga rivojlanib borayotgan tahdidlarga qarshi kurashish va murakkab texnologik arxitekturalarni modernizatsiya qilishda yordam beradi.

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.

Tavsif

  • 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

Talablar

  • 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

Imtiyozlar

  • 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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