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
Grafana
AI Platforms
Kubernetes
BIG-IP Access Policy Manager (APM)
Job description
- Develop and operate AI platform components, focusing on scalable inference services and the AI application ecosystem.
- Lead project development, manage team members, and design/implement AI model inference infrastructure.
- Maintain production AI services including RAG and autonomous agents.
- Oversee monitoring, logging, and observability solutions using OpenTelemetry, Grafana, and Prometheus.
- Ensure high availability, reliability, performance, and security.
- Requires expertise in AWS, Kubernetes, Python, systems integration, and High Performance Computing.
- Experience with LangChain and Pinecone 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), autonomous agents, and emerging technologies.
- 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.
- Act as the team point of contact (POC) for contract administration functions.
- Navigate ambiguity and define solutions for complex, underspecified systems and requirements.
- Establish new technical policies, standards, and governance frameworks where gaps exist.
- Drive adoption of new technologies and practices across engineering teams.
- Implement and oversee monitoring, logging, and observability solutions for AI services.
- Ensure high availability, reliability, performance, and security of AI platform components.
- Communicate effectively with stakeholders at multiple organizational levels.
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 developing technical policies and governance frameworks.
- Excellent communication, stakeholder management, and leadership skills.
- Ability to balance hands-on engineering with leadership and coordination responsibilities.
- Nice to Haves: Experience with AI inference serving technologies (vLLM, LiteLLM, etc.).
- Nice to Haves: Previous experience with agentic frameworks (LangChain).
- Nice to Haves: Knowledge of vector databases and embedding systems.
- Nice to Haves: Experience with high-performance computing or distributed systems.
- Nice to Haves: Track record of successfully driving technical and cultural change.