AI Software Engineer

Key Responsibilities

• Design, develop, and deploy AI-powered automation tools, workflows, and integrations that serve cross-functional business needs.
• Build and maintain APIs, microservices, and data pipelines that connect AI capabilities to business applications and platforms.
• Implement and configure commercial AI/automation platforms where build vs. buy decisions favor adoption over custom development.
• Write clean, well-documented, testable code following established engineering standards and best practices.
• Develop and fine-tune AI models, prompts, and automation workflows to address specific operational bottlenecks identified by business units.
• Integrate large language models, machine learning frameworks, and AI services into enterprise applications and workflows.
• Build internal tools and interfaces that enable non-technical teams to leverage AI capabilities effectively.
• Continuously evaluate and incorporate emerging AI tools and techniques to improve solution quality and delivery speed.
• Embed security principles into all phases of the software development lifecycle, including secure coding practices, input validation, authentication, and authorization controls.
• Conduct code reviews with a focus on identifying and remediating security vulnerabilities.
• Ensure all AI integrations, API endpoints, and data flows are designed with least-privilege access, encryption in transit and at rest, and proper logging and monitoring.
• Collaborate with cloud security and compliance teams to validate that deployments meet CMMC, NIST SP 800 series, DFARS, and other applicable regulatory requirements.
• Support secure deployment practices including infrastructure-as-code, container security, and CI/CD pipeline hardening.

Platform and Infrastructure Support

• Deploy and manage solutions across cloud and hybrid environments (Azure, AWS, or GCP) following organizational security and architectural standards.
• Maintain comprehensive technical documentation including architecture diagrams, API specifications, runbooks, and deployment procedures.
• Contribute to the development of reusable components, libraries, and patterns that accelerate future solution delivery.

Collaboration and Documentation

• Partner with the AI Solutions Architect to refine solution designs and ensure technical feasibility.
• Participate in business unit meetings to understand requirements, demonstrate progress, and gather feedback.

Qualifications

• US Citizenship Required Must possess and be able to maintain a Secret Clearance.
• Minimum Qualifications:
  • Bachelor's degree in Computer Science, Software Engineering, or a related discipline.
  • A minimum of four years of progressive experience in software engineering, with at least two years of hands-on experience building AI/ML-powered applications or automation solutions.
  • Strong proficiency in modern programming languages such as Python, TypeScript/JavaScript, or Go.
  • Demonstrated experience building and deploying APIs, microservices, and cloud-native applications.
  • Practical experience with AI/ML frameworks, large language model integration, or automation platform development.
  • Familiarity with secure software development practices and experience operating in regulated environments with compliance frameworks such as CMMC, NIST SP 800 series, DFARS, or equivalent.
  • Experience with cloud platforms (Azure, AWS, or GCP) and infrastructure-as-code tools.
• Preferred Qualifications:
  • Five or more years of software engineering experience with a focus on AI/automation.
  • Experience in the government contracting or defense sector.
  • Hands-on experience with LLM APIs, prompt engineering, RAG architectures, and AI agent frameworks.
  • Experience with container orchestration (Kubernetes, Docker), CI/CD pipelines, and DevSecOps practices.
  • Familiarity with data engineering concepts including ETL pipelines, data warehousing, and streaming architectures.
  • Relevant certifications in cloud platforms, AI/ML, or security are desirable.

What We Offer

• The salary range for this role is $140,000 to $170,000 commensurate with experience and qualifications.
• Opportunity for remote work.
• A competitive salary and benefits package.
• A casual, friendly, and relaxed work environment.
• Professional growth encouragement and support.