Mid-Level Full-Stack AI Engineer [$259k/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: • Develop and maintain AI infrastructure, focusing on inference services and AI-enabled applications. • Design, implement, and optimize scalable AI infrastructure components, including retrieval augmented generation and autonomous agents. • Implement monitoring, logging, and observability solutions with OpenTelemetry, Grafana, and Prometheus. • Automate infrastructure provisioning. • Ensure high availability and security for AI systems. • Requires cloud engineering in AWS, Kubernetes administration, Python programming, CI/CD, and DevOps practices. • Experience with vLLM, LiteLLM, LangChain, vector databases, and high-performance computing.

Qualifications && Compensation: • Degree: Technical bachelor's degree or equivalent experience • Years of experience: 8+ years • Total Compensation: $259k+ yearly Job Description: • Design, implement, and optimize infrastructure for AI model inference at scale. • Support the development and maintenance of production AI services and applications, including retrieval augmented generation (RAG), autonomous agents, and emerging technologies. • Navigate ambiguity and define solutions for underspecified 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 IaC principles. • Ensure high availability, reliability, and performance of AI platform components. • Contribute to security best practices for AI systems and data. • Provide technical guidance and informal mentorship to junior engineers. • Proven experience building and maintaining production systems at scale. • Experience with high-volume web application architecture 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 change management and organizational influence skills. • Ability to thrive in ambiguous environments and create structure where needed. • Excellent communication and collaboration skills. • Nice to Haves: Experience with AI inference serving technologies (vLLM, LiteLLM, etc.), previous experience with agentic frameworks (LangChain), knowledge of vector databases and embedding systems, experience with high-performance computing or distributed systems.

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