Mid-Level Full-Stack AI Engineer [$308k/yr+] TS/SCI-FS Poly

SYSTOLIC, INC.

Annapolis Junction, MD, United States

about 1 month ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Compensation

$308,000.0

Working hours

Regular working hours

Job source

www.clearancejobs.com

Tech stack

Artificial Intelligence Amazon Web Services Cloud Engineering Encodings Python (Programming Language) Prometheus Systems Integration AI Infrastructure Data Logging System Availability Large Language Models Grafana

+6 more

Multi-Agent Systems Generative AI AI Platforms Kubernetes Virtual Agents BIG-IP Access Policy Manager (APM)

Job description

Develop and operate AI platform components, scalable inference services, and AI application ecosystems.
Lead development and maintenance of production AI services, including Retrieval Augmented Generation (RAG) and Agentic AI.
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 large-scale production systems, systems integration, AWS, Kubernetes, Python, OpenTelemetry, Grafana, Prometheus, LangChain, and Database Engineering., * 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.
Conduct regular one-on-ones and provide coaching, feedback, and support for assigned team members.
Implement and oversee monitoring, logging, and observability solutions for AI services.
Ensure high availability, reliability, performance, and security of AI platform components.
Establish new technical policies, standards, and governance frameworks where gaps exist.
Drive adoption of new technologies and practices across engineering teams.

Requirements

Degree: Technical bachelor’s degree or equivalent experience
Years of experience: 12+ years
Total Compensation: $308k+ yearly, * Hands-on experience with cloud engineering in AWS.
Advanced proficiency with Kubernetes administration and deployment patterns.
Strong Python programming skills.
Experience implementing and scaling observability solutions (APM, OpenTelemetry, Grafana, Prometheus).
Proven ability to lead technical initiatives and influence organizational change.
Experience with AI inference serving technologies (vLLM, LiteLLM, etc.).
Previous experience with agentic frameworks (LangChain).
Knowledge of vector databases and embedding systems.
Excellent communication, stakeholder management, and leadership skills.