Junior Software Engineer – Inference

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 our AI infrastructure, building and maintaining the foundation for customer AI capabilities and an ecosystem of AI-enabled applications.

You will collaborate with model vendors and internal teams to deliver reliable inference pipelines, develop in-house services for high-quality inference, and stay current with new technologies while supporting surge workloads.

Qualifications

• 3 years with Bachelor's degree in technical field, or 7 additional years without degree.
• Location: Columbia, MD; TS/SCI with Polygraph clearance.
• Salary range provided: $138,000 - $163,000 per year.
• Proficiency in Python and modern programming languages.
• Experience with CI/CD and containerization is beneficial.

Responsibilities

• Procure, configure, and test new inference models for release to users.
• Develop in-house services to ensure high-quality inference for customers.
• Collaborate with model vendor teams to create reliable pipelines for closed-source models.
• Support surge efforts for short-term high-priority inferences.
• Integrate LLM-powered tools and collaborate with other teams to improve infrastructure.

Skills

Python

CI/CD

Kubernetes

Cloud AWS

Communication

Fast learner

Education

Bachelor's degree in a technical field

Tools

Argo CD

Kubernetes

Helm

Docker

Prometheus/Grafana

Job description

Software Engineer - AI Infrastructure

We’re seeking a software engineer to support our AI infrastructure team at Columbia, MD. In this role, you’ll help build and maintain the foundation for customer AI capabilities while supporting a broader ecosystem of AI-enabled applications.

Responsibilities

• Procure, configure, and test new inference models, preparing them for release to our user base.
• Develop in-house services and techniques to guarantee continual high-quality inference service for our customer.
• Work with model vendor teams and representatives to create reliable pipelines for closed-source model usage.
• Collaborate with teammates on surge efforts to support short-term, high-priority inference needs from our customer.
• Engage with other teams in our organization to establish solid infrastructure for our services and integrate LLM-powered tools for user needs.

Required Skills

• Experience with Python and/or other modern programming languages.
• Familiarity with Argo CD and/or other CI/CD frameworks.
• Experience with Kubernetes/Helm.
• Familiarity with AWS or other cloud service providers.
• Ability to learn new technologies quickly.
• Strong communication skills and willingness to ask questions.

Nice To Have

• Experience with vLLM, LiteLLM, or similar inference-serving frameworks.
• Experience with other LLM hosting frameworks and practices.
• Experience supporting production software using Site Reliability Engineering (SRE) best practices.
• Experience with Elastic, Grafana/Prometheus, or other observability frameworks and practices.
• Experience with Docker and containerization.
• Experience in traffic shaping and quality-of-service engineering.

Experience Required:

3 years with Bachelor's degree in technical field, or 7 additional years without degree

Location:

Columbia, MD

Clearance:

TS/SCI with Polygraph required

Salary Range:

$138,000 - $163,000