Senior AI Inference Engineer (TS/SCI)

Neural Solutions; Columbia (MD); On-site; USD 204,000 - 247,000; Full time

Job summary

Neural Solutions in Columbia, MD seeks a Senior Software Engineer to advance AI infrastructure and ensure access to high-quality LLMs across the inference stack. You will lead deployment, mentor engineers, and drive best practices while building in-house services for reliable inference.

Collaborate with cross-functional teams to integrate LLM-powered tools and support surge needs, shaping scalable, production-grade infrastructure in a cloud-native environment.

Qualifications

• 12 years of experience with a Bachelor's degree, or 16 years without a degree.
• Experience with Python and/or other modern programming languages.
• Experience with Argo CD and/or other CI/CD frameworks.
• Experience with Kubernetes/Helm.
• Experience with AWS or other cloud providers.
• Strong communication and leadership/mentoring skills.

Responsibilities

• Lead evaluation, configuration, and deployment of inference models for our users.
• Mentor engineers and grow development best practices and standards for the team.
• Develop in-house services and techniques to guarantee continual high-quality inference service for our customer.
• Engage with other teams within our organization to establish solid infrastructure for our services and integrate LLM-powered tools for user needs.
• Collaborate with teammates on surge efforts to support short-term, high-priority inference needs from our customer.

Skills

Python

Leadership

Mentoring

Communication

Education

Bachelor's degree in a technical discipline

Tools

Argo CD

CI/CD frameworks

Kubernetes

Helm

AWS

Job description

Neural Solutions in Columbia, MD seeks a Senior Software Engineer to advance AI infrastructure and ensure access to high-quality LLMs across the inference stack. You will lead deployment, mentor engineers, and drive best practices while building in-house services for reliable inference.

Collaborate with cross-functional teams to integrate LLM-powered tools and support surge needs, shaping scalable, production-grade infrastructure in a cloud-native environment.