Junior AI Infrastructure Engineer (TS/SCI)

Neural Solutions; Columbia (MD); On-site; USD 138,000 - 163,000; Full time

Job summary

Neural Solutions in Columbia, MD is seeking a Software Engineer to support an AI infrastructure team. You will help build and maintain the foundation for customer AI capabilities and support a broad ecosystem of AI-enabled applications.

You will procure models, develop in-house services for reliable inference, collaborate with model vendors, and assist with surge work while integrating LLM-powered tools across the organization.

Qualifications

• 3 years of software engineering with a technical degree, or 7 years without a degree.
• Experience with Python and modern programming languages.
• Familiarity with Argo CD, Kubernetes and Helm.
• Experience with AWS or other cloud providers.
• Strong written and verbal communication abilities.
• Willingness to learn new technologies quickly.

Responsibilities

• Procure, configure, and test new inference models for release.
• Develop in-house services to ensure high-quality inference.
• Collaborate with model vendors to create reliable pipelines for closed-source models.
• Support surge efforts for short-term inference needs.
• Work with teams to integrate LLM-powered tools and build solid infra.

Skills

Python programming

Communication skills

Learning agility

Problem solving

Education

Bachelor's degree in technical field

Tools

Argo CD

Kubernetes

Helm

AWS

Docker

CI/CD tooling

Grafana/Prometheus

vLLM / LiteLLM frameworks

Job description

Neural Solutions in Columbia, MD is seeking a Software Engineer to support an AI infrastructure team. You will help build and maintain the foundation for customer AI capabilities and support a broad ecosystem of AI-enabled applications.

You will procure models, develop in-house services for reliable inference, collaborate with model vendors, and assist with surge work while integrating LLM-powered tools across the organization.