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Mid-Level AI Infrastructure Engineer [$259k/yr+] TS/SCI-FS Poly
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SYSTOLIC
Annapolis Junction, MD (In Person)
$259,000 Salary, Full-Time
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Job Description
Job Requirements Annapolis Junction, MD Intel Agency (NSA, CIA, FBI, etc) Full Scope Polygraph Mid Level Career (5+ yrs experience) Salary not specified Join Premium to unlock estimated salaries Job Description Candidates must already possess an active Top Secret/SCI w/ Full Scope Polygraph to be considered.
Summary:
- Design, implement, and optimize scalable AI infrastructure for model inference, production AI services, and applications, including retrieval augmented generation (RAG) and autonomous agents.
- Implement observability solutions with OpenTelemetry, Grafana, and Prometheus.
- Automate infrastructure provisioning and configuration using DevOps and CI/CD.
- Ensure high availability, reliability, and performance of AI platform components, contributing to system security.
- Provide technical guidance.
- Requires strong Python, AWS, Kubernetes, and experience with vLLM, LiteLLM, Agentic AI, LangChain, vector databases, high-performance computing, and web application architecture.
Qualifications & Compensation:
Degree:
Technical bachelor's degree or equivalent experience- Years of experience: 8+ years
Total Compensation:
$259k+ yearlyJob Description:
- Join us in building the next generation of AI infrastructure that will power innovation across the customer organization.
- This role is intended for experienced engineers who can independently design, implement, and operate scalable AI infrastructure components.
Responsibilities:
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.
Skills Requirements:
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.