Agentic AI Software Engineer

The Agentic AI Software Engineer designs develops and deploys advanced AI-powered software solutions with a focus on autonomous AI agents multi-agent systems LLMs and scalable cloud-native applications. The role covers the full software development lifecycle and involves building microservices APIs AI agent workflows RAG architectures agent memory systems and modern software applications. The engineer will collaborate with cross-functional teams in an Agile environment to develop and improve next-generation AI capabilities.

• Design develop and maintain scalable software solutions supporting Agentic AI capabilities.
• Architect and implement autonomous agent systems reasoning engines and multi-agent workflows.
• Integrate AI agents with enterprise applications and distributed systems using APIs and modern architectures.
• Manage the full software development lifecycle from requirements and design through deployment and sustainment.
• Develop clean maintainable testable and efficient software.
• Build and maintain microservices and RESTful APIs.
• Collaborate with engineers architects product managers and mission stakeholders.
• Participate in Agile/Scrum activities including sprint planning stand-ups reviews and retrospectives.
• Develop and execute unit integration and system testing.
• Troubleshoot optimize and improve application performance across cloud and on-premise environments.
• Evaluate emerging AI frameworks tools and software engineering approaches.
• Develop solutions using LLMs and AI agent technologies.
• Implement agent frameworks tool-use function-calling and agent communication protocols.
• Support RAG architectures vector databases and agent memory systems.
• Apply prompt engineering and AI evaluation techniques to improve system reliability.
• Support CI/CD DevSecOps source control and modern software development practices.

• Active TS/SCI U.S. Government security clearance with adjudicated Polygraph.
• Bachelors degree in Computer Science or a related technical field.
• 8 years of professional software engineering experience.
• Significant experience with Python and object-oriented programming languages.
• Strong understanding of the full Software Development Lifecycle (SDLC).
• Proficiency with Git and modern source-control platforms such as GitLab or GitHub.
• Experience with branching strategies code reviews and CI/CD pipelines.
• Experience with Jira Confluence or equivalent tools.
• Experience developing microservices and RESTful APIs.
• Experience working in Agile/Scrum environments.
• Hands-on experience developing with LLMs or AI agents.
• Experience with an agent framework such as LangGraph CrewAI AutoGen Pydantic AI or similar.
• Familiarity with MCP A2A tool-use or function-calling.
• Experience with RAG architectures vector databases or agent memory systems.
• Experience with prompt engineering or LLM evaluation and reliability techniques.
• Strong communication collaboration analytical and problem-solving skills.

• Experience with AWS or Azure.
• Experience deploying and managing Kubernetes environments with Helm.
• Experience with React or Angular.
• Familiarity with JavaScript and/or TypeScript.
• Experience with DevSecOps and CI/CD practices.
• Experience with Git GitLab Jira and Confluence.
• IAT Level II or III certification such as Security CISSP or CASP.