Mid-Level AI Infrastructure Engineer [$308k/yr+] TS/SCI-FS Poly with Security Clearance

Candidates must already possess an active Top Secret/SCI w/ Full Scope Polygraph to be considered.

Summary: • Build and maintain next-generation AI infrastructure and inference services using Python, Kubernetes, Helm, and AWS. • Evaluate and deploy LLMs using modern inference-serving frameworks like vLLM and LiteLLM. • Establish system observability using Elasticsearch, Grafana, and Prometheus while managing containerized applications with Docker and CI/CD pipelines. • Lead technical initiatives and mentor engineering team members to foster best practices.

Qualifications && Compensation: • Degree: Technical bachelor's degree or equivalent experience • Years of experience: 12+ years • Total Compensation: $308k+ yearly Job Description: • Lead the evaluation, configuration, and deployment of inference models. • Translate high-level stakeholder goals into concrete engineering outcomes. • Develop in-house services and techniques to guarantee continual high-quality inference service. • Mentor engineers and establish development best practices and standards across the team. • Build and maintain CI/CD pipelines, cloud infrastructure, and observability tools. • Collaborate across teams to integrate LLM-powered tools and handle short-term high-priority inference efforts.

About SYSTOLIC: SYSTOLIC is dedicated to giving our employees the best possible company experience so that they can focus on providing outstanding support to their customer’s mission. Our company is founded on integrity, enthusiasm, and a relentless commitment to supporting the Intelligence Community. You can learn more about us and submit an application to be considered against our current and future openings at https://systolic.com. To learn about our compensation ranges, visit our

Pay Transparency page at: https://systolic.com/pay-transparency