Software Engineer (Agentic AI)
About The Position
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.
Requirements
- Bachelor’s degree in Computer Science or related technical field
- 8+ 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
- 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
- Ability to collaborate effectively across cross-functional engineering teams
- Strong communication and problem-solving skills in fast-paced technical environments
- Active TS/SCI U.S. Government Security Clearance with Polygraph
Nice To Haves
- 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
- IAT Level II or III certification (Security+, CISSP, CASP, etc.)
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
Benefits
- flexible time off
- robust learning resources
- comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits
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What This Job Offers
Job Type
Full-time
Career Level
Senior
