Senior AI Tools & Infrastructure Engineer

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

Job summary

Neural Solutions in Columbia, MD seeks a Senior Software Engineer – Tools and Applications to build and maintain AI infrastructure tooling. You will lead AI tools initiatives, work with cross-functional teams, and shape scalable solutions for the workforce.

Expect to drive adoption of modern practices, mentoring teammates, and delivering reliable, observable services. The role emphasizes Python excellence, Kubernetes/Argo CD CI/CD, and SRE best practices within a TS/Polygraph environment.

Qualifications

• Bachelor's degree in a technical field or 16 years of experience without degree.
• Proficiency in Python.
• Experience using LLMs as part of code workflows.
• Cloud experience with AWS or equivalent.
• UI/UX principles.
• SRE practices for production software.
• Docker and containerization.

Responsibilities

• Develop high-quality AI tools and applications for the workforce.
• Maintain customer-facing infrastructure and applications for reliability.
• Engage with customers to elicit requirements and tailor solutions.
• Lead AI Tools and Applications initiatives across teams.
• Provide coaching and feedback during one-on-ones.
• Define solutions for underspecified systems and requirements.
• Drive adoption of new technologies across engineering teams.
• Implement monitoring, logging and observability for AI services.
• Communicate with stakeholders at multiple levels.

Education

Bachelor's degree in a technical field

Tools

Docker

Kubernetes

Argo CD

AWS

CI/CD

Job description

Neural Solutions in Columbia, MD seeks a Senior Software Engineer – Tools and Applications to build and maintain AI infrastructure tooling. You will lead AI tools initiatives, work with cross-functional teams, and shape scalable solutions for the workforce.

Expect to drive adoption of modern practices, mentoring teammates, and delivering reliable, observable services. The role emphasizes Python excellence, Kubernetes/Argo CD CI/CD, and SRE best practices within a TS/Polygraph environment.