CACI International Inc

Expertise and Technology for National Security

Generative AI Engineer, Mid-level

LLM EngineerMachine Learning EngineerFull TimeRemoteTeam 10,001+Since 1962H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

6 days ago

Salary

$82.1K - $172.4K / year

Bachelor Degree5 yrs expEnglishAWSAzureCloudDistributed SystemsDockerGoogle Cloud PlatformJava ScriptPython

Job Description

• Join CACI’s AI Enablement Team as a Generative AI Engineer delivering rapid, high‑impact AI solutions in 1–2 month engagements • Build and deploy production‑ready AI applications (RAG, conversational AI, multi‑agent systems) across short program engagements • Implement GenAI solutions using vector databases, LLM orchestration frameworks, and managed AI services with strong observability and security practices • Integrate LLM APIs and services into existing workflows; apply responsible AI guardrails; troubleshoot cloud and on‑prem integration issues • Deliver workshops, documentation, and paired development to ensure teams can independently operate and extend AI systems • Improve AI application templates and document emerging techniques based on field experience • Validate program team readiness for independent AI operations • Stay current with new GenAI tools and patterns and share insights with the team

Job Requirements

  • 5+ years software engineering experience with strong Python and JavaScript
  • Bachelor’s degree in Computer Science or a related major
  • Ability to obtain a U.S. Secret Clearance
  • Practical experience developing LLM applications, including agentic patterns, RAG, context engineering, vector databases, and observability fundamentals
  • Experience monitoring LLM performance, mitigating failure modes, and applying responsible AI practices (bias checks, guardrails, validation)
  • Strong API integration skills with REST and distributed systems
  • Working experience with a major cloud provider (AWS/Azure/GCP), plus familiarity with Docker, CI/CD, IaC concepts, and core security practices
  • Understanding of ML fundamentals relevant to LLM systems
  • Ability to deliver quickly in unfamiliar environments and adapt to changing requirements
  • Strong communication skills and experience creating clear technical documentation and explanations
  • Pragmatic delivery mindset with sound architectural trade‑off judgment
  • Active user of AI tooling and continuous learner in GenAI
  • Experience with agile workflows (GitLab, Jira)

Benefits

  • healthcare
  • wellness
  • financial
  • retirement
  • family support
  • continuing education
  • time off benefits

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