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CACI International Inc

Applied AI Software Engineer

Posted 3 Days Ago
In-Office
2 Locations
69K-142K Annually
Mid level
In-Office
2 Locations
69K-142K Annually
Mid level
The role involves building and deploying AI capabilities in cloud and on-prem environments, mentoring teams, and ensuring smooth transitions to program ownership.
The summary above was generated by AI
Job Title: Applied AI Software Engineer

Job Category: Engineering

Time Type: Full time

Minimum Clearance Required to Start: None

Employee Type: Regular

Percentage of Travel Required: Up to 10%

Type of Travel: Continental US

Anticipated Posting End: 5/1/2026

The Opportunity:
Are you ready to deploy AI solutions that directly impact national security missions? Are you energized by building high-impact AI capabilities and standing up AI environments that give programs immediate operational advantage? This is an exciting opportunity for you. You will have a chance to work independently with general supervision in a small, high-impact team. In this role you’ll have a chance to use AI tools daily to amplify your own productivity and push the boundaries of what's possible.
Responsibilities:

  • Build and deploy high-impact AI capabilities aligned to program requirements in AWS cloud and on-premises environments that demonstrate measurable value
  • Quickly understand diverse program requirements and translate them into deployable AI solutions
  • Stand up AI development environments and supporting infrastructure on programs with hands-on assistance to ensure smooth transition to program ownership
  • Provide hands-on deployment support including production readiness guidance and technical troubleshooting
  • Participate in weekly AI Office Hours to address technical questions from programs across the company
  • Demonstrate AI capabilities to program stakeholders and internal teams, clearly articulating technical approach and mission impact
  • Mentor program teams on AI concepts, architectural patterns, and engineering best practices to enable self-sufficiency
  • Transition AI capabilities to program ownership, ensuring teams can maintain and operate solutions independently
  • Leverage AI tools and agents to maximize personal and team productivity, demonstrating AI-forward workflows
  • Collaborate with AI Acceleration Center team members to scale best practices and reusable capabilities across our programs

Qualifications:
Required: 

  • Bachelor’s degree in computer science, engineering, mathematics, or related technical field
  • 3+ years of professional software engineering experience.     
  • Demonstrated ability to work independently as a productive individual contributor with limited supervision.    
  • Strong programming skills in Python.          
  • Experience with containerization and deployment technologies, including Docker and Kubernetes.  
  • Experience deploying and operating applications in AWS cloud environments. 
  • Demonstrated use of AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude, ChatGPT) to accelerate coding, debugging, and delivery.    
  • Strong written and verbal communication skills, with the ability to explain technical concepts to technical and non-technical stakeholders.     
  • Experience collaborating with or informally guiding peers on technical topics.     
  • U.S. citizenship is required          
  • Ability to obtain a Top Secret clearance

Desired:

  • Active Top Secret/SCI clearance
  • Experience building GenAI-powered applications using modern AI platforms and frameworks, including RAG pipelines, agent-based workflows, or automation systems that streamline engineering or mission processes.
  • Working knowledge of LLM fundamentals, prompt design, and systematic evaluation of model outputs.
  • Practical exposure to MLOps or LLMOps concepts, including experimentation tracking and performance monitoring using tools such as MLflow, LangFuse, Comet, or similar.
  • Background supporting Department of Defense or Intelligence Community programs

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What You Can Expect:

 A culture of integrity.

At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation.

An environment of trust.

CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.

A focus on continuous growth.

Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy.

Pay Range:

There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.

Since this position can be worked in more than one location, the range shown is the national average for the position.

The proposed salary range for this position is:

$69,100-$141,500

CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

Top Skills

AWS
Docker
Kubernetes
Python

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