AI Engineer

CACI; Washington (District of Columbia); On-site; USD 120,000 - 190,000; Full time

Job summary

CACI is seeking an AI Engineer to design, develop, test, and support AI-enabled applications and agent-based solutions for U.S. federal clients, emphasizing secure, reliable capabilities that integrate AI models with enterprise data and workflows.

You will work across the software lifecycle, leveraging LangChain and Microsoft Agent Framework, cloud AI services, and established engineering practices to deliver retrieval-augmented generation, API integrations, and agent workflows with stringent

Qualifications

• Bachelor's degree plus 10 years in AI/ML or related field; alternatives listed in ad.
• At least 5 years of software engineering, application development, or AI/ML experience.
• Experience developing software apps/services with Python and APIs.
• Hands-on experience building generative AI apps that integrate with data and workflows.

Responsibilities

• Design, develop, test, document, and maintain AI-enabled applications and services.
• Implement AI and agent workflows using LangChain or Microsoft Agent Framework or similar.
• Develop RAG capabilities, including data ingestion, retrieval, grounding, and integration with enterprise sources.
• Integrate AI models with APIs, enterprise apps, and business workflows with appropriate tool use and human review.
• Work with product owners and functional specialists to translate needs into designs, user stories, and acceptance criteria.
• Develop and maintain application components, APIs, and services using Python.
• Create and run automated tests to assess accuracy, relevance, grounding, safety, and performance.
• Troubleshoot application and model behavior; use telemetry and feedback to improve quality.
• Support deployment and operations, including CI/CD, monitoring, and documentation.
• Apply security and privacy requirements, including identity controls and data protection.
• Collaborate with data, cloud, cybersecurity, DevSecOps, and software teams to integrate solutions.
• Contribute reusable components and engineering practices for consistency.
• Familiarity with AI safety frameworks such as the NIST AI Safety Framework to support alignment controls.
• Contribute to AI Safety/Alignment policies and procedures for ethical AI systems.

Skills

Python

APIs

AI/ML engineering

Software design

Security considerations

Education

Bachelor's degree + 10 years of experience in AI/ML or related field

Tools

LangChain

Microsoft Agent Framework

Job description

Job Title: AI Engineer

Job Category: Information Technology

Time Type: Full time

Minimum Clearance Required to Start:

Employee Type: Regular

Percentage of Travel Required: Up to 10%

Type of Travel: Local

* * *

The Opportunity:

We are seeking an AI Engineer to design, develop, test, and support AI-enabled applications and agent-based solutions to support the United States Secret Service (USSS) contract supporting the Department of Homeland Security. The engineer will work across the software development lifecycle, translating mission and user needs into secure, reliable capabilities that integrate AI models with enterprise data, applications, and workflows. The work may use frameworks such as LangChain and Microsoft Agent Framework, along with cloud-based AI services and established software engineering practices.

The AI Engineer will collaborate with product, functional, data, cybersecurity, and infrastructure teams to develop practical solutions that meet user needs and enterprise requirements. The role includes building and evaluating capabilities such as retrieval-augmented generation (RAG), tool and API integrations, and agent workflows; improving system quality through testing and user feedback; and supporting deployment, monitoring, and continuous improvement.

Responsibilities:

The Opportunity:

We are seeking an AI Engineer to design, develop, test, and support AI-enabled applications and agent-based solutions to support the United States Secret Service (USSS) contract supporting the Department of Homeland Security. The engineer will work across the software development lifecycle, translating mission and user needs into secure, reliable capabilities that integrate AI models with enterprise data, applications, and workflows. The work may use frameworks such as LangChain and Microsoft Agent Framework, along with cloud-based AI services and established software engineering practices.

The AI Engineer will collaborate with product, functional, data, cybersecurity, and infrastructure teams to develop practical solutions that meet user needs and enterprise requirements. The role includes building and evaluating capabilities such as retrieval-augmented generation (RAG), tool and API integrations, and agent workflows; improving system quality through testing and user feedback; and supporting deployment, monitoring, and continuous improvement.

• 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 understand needs and translate them 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 to assess accuracy, relevance, grounding, safety, and performance.
• Troubleshoot application and model behavior; use test results, telemetry, and user feedback to improve solution quality.
• 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 to integrate solutions into the enterprise environment.
• Contribute reusable components, technical documentation, and engineering practices that improve consistency and maintainability.
• Familiarity with AI safety frameworks such as the NIST AI Safety Framework to support implementation of alignment controls in artificial intelligence LLMs and agents.
• Contribute to the development of the AI Safety/Alignment policies, procedures, etc., for ensuring ethical, controllable, and aligned artificial intelligence systems and agents.

Qualifications:

Required:

• 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 compar