Mid-Level Full-Stack AI Engineer [$259k/yr+] TS/SCI-FS Poly

SYSTOLIC, INC.

Annapolis Junction, MD, United States

3 months ago

Apply on clearancejobs.com

Prepare application

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

8 years minimum

Compensation

$259,000.0

Working hours

Regular working hours

Job source

clearancejobs.com

Tech stack

Artificial Intelligence Amazon Web Services Cloud Engineering Encodings Continuous Integration DevOps Distributed Systems Python (Programming Language) Performance Tuning Prometheus Systems Integration Web Applications

+10 more

AI Infrastructure Data Logging High Performance Computing System Availability Large Language Models Grafana AI Platforms Kubernetes Infrastructure Automation Frameworks BIG-IP Access Policy Manager (APM)

Job description

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., * 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.

Requirements

Degree: Technical bachelor’s degree or equivalent experience
Years of experience: 8+ years
Total Compensation: $259k+ yearly, * 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.