Software Engineer (AI Infrastructure)
$115,000–$160,000 year
On-site · Columbia, Maryland, United States or Laurel, Maryland, United States
Job Summary
Design, implement, and optimize infrastructure for AI model inference at scale. Support the development and maintenance of production AI services (including retrieval augmented generation, autonomous agents, and emerging technologies). Define and implement solutions for ambiguous systems and requirements. Drive adoption of new technologies and practices across engineering teams. Implement monitoring, logging, and observability solutions for AI services. Automate infrastructure provisioning and configuration using Infrastructure as Code (IaC). Ensure availability, reliability, scalability, and performance of AI platform components. Contribute to security best practices for AI systems and data. Provide technical guidance and mentorship to junior engineers. Requires Active TS/SCI with polygraph.
Required Qualifications
- Bachelor's degree in a technical discipline (4 years experience may substitute)
- 8 years of software development
- Experience building and maintaining production systems at scale
- Experience with high-volume web application architectures and performance optimization
- Strong background in systems integration across diverse technologies and platforms
- Hands-on experience with cloud engineering in AWS
- Proficiency with Kubernetes administration and deployment patterns
- Strong Python programming skills
- Experience implementing observability solutions (APM, OpenTelemetry, Grafana, Prometheus)
- Familiarity with CI/CD pipelines and DevOps practices
- Strong organizational influence and change management skills
- Ability to thrive in ambiguous environments and create structure where needed
- Excellent communication and collaboration skills
- Active TS/SCI clearance with polygraph
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