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AI Engineer
CACI International IncCore Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and developing AI-enabled applications using Python, integrating AI models with APIs, and implementing workflows with frameworks like LangChain and Microsoft Agent Framework. Proficient in automated testing, CI/CD practices, and ensuring security and privacy in software development.
Highest-signal resume keywords
Python Application DevelopmentLangChain Framework ExperienceMicrosoft Agent Framework ExperienceAutomated Testing and CI/CDAI Safety and Alignment Practices
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- 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
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI Application DevelopmentMachine Learning EngineeringAPI IntegrationData Ingestion and RetrievalRAG Capabilities DevelopmentSoftware Engineering PracticesAutomated TestingVersion ControlCloud-Based Application DevelopmentSecurity and Privacy Requirements
Soft Skills
Collaborative CommunicationTechnical DocumentationProblem-Solving
Tools & Technologies
Microsoft AzureAzure OpenAIAzure AI ServicesLangGraphDevSecOps
Certifications & Qualifications
Relevant Cloud CertificationsAI Certifications
Industry Keywords
Responsible AI PracticesAI Safety FrameworksEnterprise Data IntegrationHuman Review ProcessesEthical AI Systems