Mid-Level Full-Stack AI Engineer [$308k/yr+] TS/SCI-FS Poly
SYSTOLIC, INC.
Jessup, United States of America
14 days ago
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
Distributed Systems
Python
Prometheus
Systems Integration
AI Infrastructure
Data Logging
High Performance Computing
System Availability
Large Language Models
Grafana
Multi-Agent Systems
AI Platforms
Kubernetes
Virtual Agents
BIG-IP Access Policy Manager (APM)
Job description
- Lead development and operation of AI platform components, scalable inference services, and AI applications.
- Design, implement, and optimize AI model inference infrastructure.
- Develop and maintain production AI services, including RAG and autonomous agents.
- 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 AWS, Kubernetes, Python, OpenTelemetry, Grafana, Prometheus, Agentic AI, and LangChain.
- Experience with high-performance computing, distributed systems, and vector databases is beneficial., * 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.
- Provide coaching, feedback, and support for assigned team members and act as team point of contact for contract administration.
- Navigate ambiguity to define solutions for complex systems and establish new technical policies and governance frameworks.
- Drive adoption of new technologies and practices, ensuring high availability, reliability, performance, and security of AI platform components.
- Implement and oversee monitoring, logging, and observability solutions for AI services.
Requirements
- Degree: Technical bachelor's degree or equivalent experience
- Years of experience: 12+ years
- Total Compensation: $308k+ yearly, * Extensive experience designing, building, and operating large-scale production systems with deep expertise in systems integration.
- Hands-on experience with cloud engineering in AWS and advanced proficiency with Kubernetes administration.
- Strong Python programming skills and experience implementing and scaling observability solutions (APM, OpenTelemetry, Grafana, Prometheus).
- Proven ability to lead technical initiatives, influence organizational change, and develop technical policies and governance frameworks.
- Excellent communication, stakeholder management, and leadership skills, balancing hands-on engineering with leadership responsibilities.
- Desired skills include experience with AI inference serving technologies (vLLM, LiteLLM), agentic frameworks (LangChain), vector databases, embedding systems, high-performance computing, or distributed systems.