Mid-Level Full-Stack AI Engineer [$308k/yr+] TS/SCI-FS Poly
SYSTOLIC, INC.
Jessup, United States of America
yesterday
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Intermediate Compensation
$ 308KJob location
Jessup, United States of America
Tech stack
Artificial Intelligence
Amazon Web Services (AWS)
Cloud Engineering
Encodings
Python
Prometheus
Systems Integration
AI Infrastructure
Data Logging
System Availability
Large Language Models
Grafana
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.