AI Infrastructure & Full-Stack Engineer (PT/Retainer -- FT Flex) - TS

Job Description

Catalyst is looking for a highly skilled engineer to support the design, deployment, and optimization of our on-premises AI infrastructure. This role can be part-time, on-retainer, or structured as an independent contractor, with flexibility to expand to full-time if needed.

What You’ll Work On:

Designing and maintaining on-prem AI stacks — GPU servers, local clusters, NAS storage

Building and managing Docker/Docker Compose environments

Optimizing model-inference pipelines for speed and reliability

Developing backend services and APIs for AI applications

Automating system setup and maintenance with Bash, Python, or PowerShell

Managing GPU drivers, CUDA, and dependency stacks

Implementing logging, metrics, and fault-tolerant distributed systems

Integrating AI systems with local networks (DNS, SSL/TLS, reverse proxy, firewall, auth)

Maintaining clear documentation and deployment procedures

Required Expertise:

Strong proficiency in Python, JavaScript, and full-stack development

Proven experience running GPU-accelerated workloads in Linux environments

Deep knowledge of Docker, GPU runtime management, and multi-container orchestration

Linux server administration, security hardening, and user-permission management

Networking fundamentals (VLANs, NAT, DNS, reverse proxying)

System performance tuning (CPU/GPU/RAM)

Ability to read/debug code without IDE or internet access

REQUIRED: Must hold an active TS/SCI Full Scope clearance.

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