Mid-Level Full-Stack AI Engineer [$259k/yr+] TS/SCI-FS Poly
SYSTOLIC, INC.
Annapolis Junction, MD, United States
3 months ago
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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
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.
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