Agentic AI Software Engineer
At a glance
Mid-level AI Engineering role at CACI. King of Prussia · full-time · $82,100–$172,400 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Design and sustain software for agentic AI, including autonomous agents, reasoning workflows and multi-agent coordination
- Connect agents to enterprise and distributed systems through APIs, protocols and modern software designs
- Build microservices and REST APIs, then carry them through release and ongoing support
- Write testable code and run unit, integration and system checks to keep applications reliable
- Work through Agile delivery with engineers, architects, product managers and mission stakeholders
What you bring
- You hold a computer science degree or a related technical qualification
- You bring at least five years of professional software development, including substantial Python work and object-oriented programming
- You have an active TS/SCI clearance with an adjudicated polygraph
- You have built with LLMs or agents and used an agent framework in a project
- You understand the software lifecycle and have delivered microservices and REST APIs in Agile teams
Who this fits
This mid-level role suits a software engineer interested in building agentic AI systems and working across the full development lifecycle. An active TS/SCI clearance with an adjudicated polygraph is required. Travel may reach ten percent and is local.
From the employer
The Opportunity:
We are seeking a talented and highly motivated Software Engineer – Agentic AI to join a fast-growing, high-impact program focused on delivering next-generation AI-enabled capabilities. This is an opportunity to work at the forefront of cutting-edge AI technologies, helping design and build advanced autonomous agent systems that solve complex real-world problems in a rapidly evolving environment.
As part of our team, you will contribute to the architecture, development, and deployment of modern software solutions with a strong emphasis on Agentic AI, multi-agent collaboration, and scalable cloud-native systems. You will work alongside experienced engineers, architects, and technical leaders in an agile environment where innovation, rapid iteration, and technical excellence are highly valued.
The ideal candidate is passionate about emerging AI technologies, thrives in fast-moving engineering environments, and enjoys solving challenging technical problems across the full software development lifecycle. You will have the opportunity to influence system design, contribute to AI-driven product evolution, and help shape the future direction of autonomous intelligent systems.
Responsibilities:
Design, develop, and maintain scalable software solutions supporting advanced Agentic AI capabilities
Architect and implement autonomous agent systems leveraging agentic workflows, reasoning engines, and multi-agent collaboration
Integrate AI agents with enterprise applications and distributed systems using APIs, standard protocols, and modern software architectures
Manage the complete software development lifecycle from concept and design through deployment and sustainment
Develop clean, maintainable, testable, and efficient code following modern software engineering best practices
Build and maintain microservices and RESTful APIs supporting scalable and resilient applications
Collaborate closely with engineers, architects, product managers, and mission stakeholders to rapidly deliver new capabilities
Participate in Agile/Scrum activities including sprint planning, stand-ups, technical reviews, and retrospectives
Develop and execute unit, integration, and system tests to ensure software quality and reliability
Troubleshoot, optimize, and enhance system performance across cloud and on-premise environments
Support continuous improvement efforts by evaluating emerging AI frameworks, tools, and engineering approaches
Qualifications:
Required:
Security Requirements
- Active TS/SCI with Adjudicated Polygraph
Core Software Engineering Experience
- Bachelor’s degree in Computer Science or related technical field
- 5+ years of professional software engineering experience using object-oriented programming languages, with significant experience in Python
- Strong understanding of the full Software Development Lifecycle (SDLC), including requirements analysis, design, development, testing, deployment, and maintenance
- Proficiency with Git, and experience with a modern source control platform (GitLab, GitHub, Bitbucket, or similar), including branching strategies, code review, and CI/CD pipelines
- Experience with issue tracking and documentation tools like Jira and Confluence (or equivalents)
- Experience developing microservices and RESTful APIs
- Experience working in Agile/Scrum development environments
Agentic AI & Modern AI Development
- Hands-on experience building with LLMs or agents in any context, including production systems, prototypes, or substantial personal projects
- Hands-on experience with any agent framework (Microsoft Agent Framework, LangGraph, CrewAI, AutoGen, Pydantic AI, etc.). We care more about how you think about agent design than which framework you’ve used.
- Familiarity with agent communication and tooling protocols (MCP, A2A), or experience implementing tool-use / function-calling in an LLM-based system
- RAG architectures, vector databases, or agent memory systems
- Prompt engineering, evaluation frameworks (Langfuse, MLflow, DSPy), or experience tuning LLM systems for reliability
Collaboration & Environment
- Ability to collaborate effectively across cross-functional engineering teams
- Strong communication and problem-solving skills in fast-paced technical environments
Desired:
- Experience with cloud platforms such as AWS or Azure
- Experience deploying and managing Kubernetes environments with Helm
- Experience with modern frontend development using React or Angular
- Familiarity with JavaScript and/or TypeScript
- Experience with DevSecOps practices and CI/CD pipelines
- Experience using modern development tools such as Git, GitLab, Jira, and Confluence
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:
$82,100-$172,400CACI 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.