AI Engineer

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $105.1k - $231.1k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 AI Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

CACI International Inc

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1962

🎖️ Defense

🏛️ Government

🔒 Cybersecurity

🔥 Funding within the last year

💰 $500M Post-IPO Debt on 2026-02

Defense • Government • Cybersecurity

CACI International Inc is a U. S. -based government contractor that provides technologies and professional services to national security, defense, and federal civilian customers. CACI delivers solutions across cyber and digital operations, enterprise IT modernization, electronic warfare, counter-unmanned systems (C-UxS), space and optical communications, agile DevSecOps software development, and mission engineering and logistics support. The company positions itself as a large prime contractor that uses advanced software, analytics, sensing, and hardware to detect and counter evolving threats and modernize government technology architectures.

📋 Description

• Design, develop, test, document, and maintain AI-enabled applications and services • Implement AI and agent workflows using LangChain, Microsoft Agent Framework, or other suitable frameworks and services • Develop RAG capabilities, including data ingestion, retrieval, grounding, and integration with authorized enterprise information sources • Integrate AI models with APIs, enterprise applications, and business workflows, including appropriate tool use and human review • Work with product owners, users, and functional specialists to translate needs into technical designs, user stories, and acceptance criteria • Develop and maintain application components, APIs, and services using Python and established software engineering practices • Create and execute automated tests and evaluations for accuracy, relevance, grounding, safety, and performance • Troubleshoot application and model behavior using test results, telemetry, and user feedback • Support deployment and operations, including CI/CD, monitoring, documentation, incident resolution, and ongoing maintenance • Apply security and privacy requirements, including identity and access controls, authorization-aware retrieval, and protection of sensitive data • Collaborate with data, cloud, cybersecurity, DevSecOps, and software engineering teams • Contribute reusable components, technical documentation, and engineering practices • Support implementation of alignment controls in AI LLMs and agents • Contribute to AI safety/alignment policies and procedures for ethical, controllable, and aligned AI systems and agents

🎯 Requirements

• Bachelor's degree + 10 years of experience in artificial intelligence, machine learning, software engineering, or related field; equivalencies considered (Master's + 7 years; 16 years with no degree; AA + 12 years) • At least five years of experience in software engineering, application development, AI/ML engineering, or a related technical field • Demonstrated experience developing software applications or services using Python and APIs • Hands-on experience building generative AI or machine learning applications that integrate models with data, applications, or workflows • Experience using LangChain, Microsoft Agent Framework, or a comparable framework to build AI or agent-based capabilities • Understanding of RAG, prompt and context design, model or application evaluation, and integration with enterprise data • Experience with automated testing, version control, and CI/CD practices • Familiarity with cloud-based application development and deployment; experience with Microsoft Azure is preferred • Understanding of secure software development and the need to protect sensitive information and restrict access to enterprise data • Ability to work collaboratively with technical teams, product staff, and functional stakeholders, and to communicate technical work clearly • Desired: Experience developing production applications using both LangChain and Microsoft Agent Framework • Desired: Experience with LangGraph or other approaches for building stateful, multi-step agent workflows • Desired: Experience with Azure OpenAI, Azure AI services, or Azure AI Foundry • Desired: Experience implementing authorization-aware RAG, data filtering, and access controls for retrieval and tool use • Desired: Experience with AI evaluation methods, test sets, tracing, observability, and monitoring for quality, latency, and cost • Desired: Experience integrating AI applications with enterprise systems, microservices, and web interfaces • Desired: Familiarity with responsible AI practices, including human review, explainability, and safe handling of uncertain or unsupported outputs • Relevant cloud, AI, or software engineering certifications are desired • Familiarity with AI safety frameworks such as the NIST AI Safety Framework • Ability to contribute to AI safety/alignment policies and procedures

🏖️ Benefits

• 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