Software Engineering – Intelligent Platforms (Mid)

Overview

Mid-level Software Engineer building backend services, intelligent agents, and automation workflows for agent-based, AI-enabled platforms that simulate, interact with, and act on complex technical and business environments.

What you'll do

• Design, develop, and maintain backend services and microservices that support intelligent, agent-based platforms
• Build and integrate autonomous or semi-autonomous agents that interact with technical and business systems
• Develop AI-enabled workflows leveraging LLMs for decision support, automation, analysis, and system interaction
• Implement APIs and orchestration logic that enable agents and services to collaborate effectively
• Implement and maintain Infrastructure as Code (IaC) to provision and manage cloud environments
• Collaborate with systems engineers and ISSEs to translate requirements and security controls into code
• Contribute to Git-based development workflows, including pull/merge requests, code reviews, and documentation
• Support CI/CD pipelines and secure deployments aligned with ATO requirements
• Produce clear technical documentation covering code, agent behavior, and system interactions
• Contribute to an "everything as code" approach, expressing infrastructure, automation, agent behavior, workflows, and operational artifacts as version-controlled, testable code

What you'll need

• BS degree and 4+ years of professional software development experience
• Proficiency in at least one modern programming language (Python preferred; Java or Go acceptable)
• Experience building backend services, APIs, or microservices
• Exposure to AI/ML systems, LLMs, or intelligent automation (through professional work or applied projects)
• Familiarity with Infrastructure as Code concepts and tooling
• Experience working in GitLab and/or GitHub with collaborative development practices
• Ability to operate effectively in environments with evolving or ambiguous requirements
• Must have and maintain a Secret security clearance

Nice to have

• Active Security+ certification or equivalent IAT Level II certification
• Experience building or orchestrating agents, workflows, or autonomous systems
• Familiarity with LLM integration patterns (prompting, tools/functions, retrieval, etc.)
• Experience with containerization and orchestration technologies (Docker, Kubernetes)
• Familiarity with cloud platforms (AWS GovCloud preferred)
• Experience developing AI-enabled systems in regulated or secure environments
• Experience applying "as code" approaches beyond infrastructure (e.g., configuration-as-code, policy-as-code, workflows-as-code, documentation-as-code)

Details

• Remote/Teleworker, United States
• Pay range $87,100.00 - $157,450.00 (U.S. positions)