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CACI International Inc
CACI International Inc
AizsardzībaKiberdrošībaValdība
CACI International Inc ir Amerikas Savienotajās Valstīs bāzēts valdības līgumdarbu izpildītājs, kas apkalpo nacionālās drošības, aizsardzības un federālās civilās pārvaldes klientus. Uzņēmuma komandas izstrādā un nodrošina tehnoloģijas un profesionālos pakalpojumus tādās jomās kā kiberdrošība, digitālās operācijas, uzņēmumu IT modernizācija, elektroniskā karadarbība, pretdarbība bezpilota sistēmām, kosmosa un optiskie sakari, DevSecOps programmatūra, misiju inženierija un loģistika. Kā liels galvenais līgumdarbu izpildītājs CACI apvieno programmatūru, analītiku, sensorus un aparatūru, lai palīdzētu valsts organizācijām risināt mainīgo apdraudējumu radītās problēmas un modernizēt sarežģītas tehnoloģiju arhitektūras.
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Vakances uzņēmumā

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.

USAmerikas Savienotās ValstisCOKolorādoVAVirdžīnija
82 100 $ – 172 400 $ / gads
KlātienēPilna slodzeVidējais līmenisVecākais speciālistsNepieciešamā Valoda: angļuMākslīgā intelekta inženierisMašīnmācīšanās inženieris
AWSAzureGoogle Cloud PlatformJavaScriptKomutācijaKubernetesMākonisPythonReactTerraformTypeScript

Apraksts

  • 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

Prasības

  • 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

Priekšrocības

  • 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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