Mid-Level Full-Stack AI 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: • Lead development and operation of AI platform components, scalable inference services, and AI applications. • Design, implement, and optimize AI model inference infrastructure. • Develop and maintain production AI services, including RAG and autonomous agents. • Serve as technical lead for AI infrastructure initiatives. • Implement and oversee monitoring, logging, and observability solutions. • Ensure high availability, reliability, performance, and security of AI platform components. • Requires expertise in AWS, Kubernetes, Python, OpenTelemetry, Grafana, Prometheus, Agentic AI, and LangChain. • Experience with high-performance computing, distributed systems, and vector databases is beneficial. Qualifications && Compensation: • Degree: Technical bachelor's degree or equivalent experience • Years of experience: 12+ years • Total Compensation: $308k+ yearly Job Description: • Design, implement, and optimize infrastructure for AI model inference at scale. • Lead the development and maintenance of production AI services and applications, including retrieval augmented generation (RAG) and autonomous agents. • Serve as technical lead for AI infrastructure initiatives, coordinating work across integrated teams. • Provide coaching, feedback, and support for assigned team members and act as team point of contact for contract administration. • Navigate ambiguity to define solutions for complex systems and establish new technical policies and governance frameworks. • Drive adoption of new technologies and practices, ensuring high availability, reliability, performance, and security of AI platform components. • Implement and oversee monitoring, logging, and observability solutions for AI services. • Extensive experience designing, building, and operating large-scale production systems with deep expertise in systems integration. • Hands-on experience with cloud engineering in AWS and advanced proficiency with Kubernetes administration. • Strong Python programming skills and experience implementing and scaling observability solutions (APM, OpenTelemetry, Grafana, Prometheus). • Proven ability to lead technical initiatives, influence organizational change, and develop technical policies and governance frameworks. • Excellent communication, stakeholder management, and leadership skills, balancing hands-on engineering with leadership responsibilities. • Desired skills include experience with AI inference serving technologies (vLLM, LiteLLM), agentic frameworks (LangChain), vector databases, embedding systems, 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