Software Engineer, Agentic AI

Role Overview

• 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

Requirements

• 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
• 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.).
• 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
• Willingness to be submitted for and ability to obtain a Counter Intelligence (CI) Polygraph

Tech Stack

• Cloud
• Distributed Systems
• Microservices
• Python
• SDLC
• TypeScript

Benefits

• healthcare
• wellness
• financial
• retirement
• family support
• continuing education
• time off benefits