Job Requirements
Annapolis Junction, MD
Intel Agency (NSA, CIA, FBI, etc) Full Scope Polygraph
Early Career (2+ yrs experience)
Salary not specified
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Job Description
Candidates must already possess an active Top Secret/SCI w/ Full Scope Polygraph to be considered.
Summary:
• Build and maintain AI infrastructure and scalable inference pipelines to host and serve LLMs.
• Develop in-house services to ensure reliable, high-quality model availability across the organization.
• Implement observability, containerization, and automated deployments within cloud and Kubernetes environments.
Qualifications & Compensation:
• Degree: Technical bachelor's degree or equivalent experience
• Years of experience: 3+ years
• Total Compensation: $220k+ yearly
Job Description:
• Procure, configure, and test new inference models and prepare them for production use.
• Develop backend services and tools using Python to support the model-serving ecosystem.
• Deploy, manage, and scale applications using Kubernetes, Helm, and AWS infrastructure.
• Build reliable pipelines for model integration using serving frameworks like vLLM or LiteLLM.
• Maintain CI/CD pipelines using Argo CD or similar automation frameworks.
• Monitor system health, performance, and traffic shaping using Docker, Elasticsearch, Prometheus, and Grafana.
• Apply Site Reliability Engineering (SRE) best practices to maintain high service availability and platform resilience.
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
Summary:
• Build and maintain AI infrastructure and scalable inference pipelines to host and serve LLMs.
• Develop in-house services to ensure reliable, high-quality model availability across the organization.
• Implement observability, containerization, and automated deployments within cloud and Kubernetes environments.
Qualifications & Compensation:
• Degree: Technical bachelor's degree or equivalent experience
• Years of experience: 3+ years
• Total Compensation: $220k+ yearly
Job Description:
• Procure, configure, and test new inference models and prepare them for production use.
• Develop backend services and tools using Python to support the model-serving ecosystem.
• Deploy, manage, and scale applications using Kubernetes, Helm, and AWS infrastructure.
• Build reliable pipelines for model integration using serving frameworks like vLLM or LiteLLM.
• Maintain CI/CD pipelines using Argo CD or similar automation frameworks.
• Monitor system health, performance, and traffic shaping using Docker, Elasticsearch, Prometheus, and Grafana.
• Apply Site Reliability Engineering (SRE) best practices to maintain high service availability and platform resilience.
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
group id: 10527119