AI Infrastructure Engineer – Inference & Cloud Ops

Dover Networks LLC; Maryland; On-site; USD 163,000 - 178,000; Full time

Benefits offered by this job

401(k) contributions

Job summary

Dover Networks LLC in Maryland is seeking a software engineer to join our AI infrastructure team and help build the foundation for customer AI capabilities. You will focus on ensuring access to high-quality LLMs across the inference stack, and collaborate with model vendors to create reliable pipelines for closed-source models.

The role requires Python or other modern languages, hands-on experience with Kubernetes, Helm, Argo CD, and AWS, and a strong willingness to learn and communicate.

Qualifications

• Experience with Python or other modern programming languages.
• Familiarity with CI/CD frameworks such as Argo CD.
• Experience with Kubernetes/Helm and AWS.

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 to establish solid infrastructure for our services and integrate LLM‑powered tools for user needs.

Skills

Python

CI/CD

Communication skills

Quick learner

Team collaboration

Education

BS in a technical discipline

4 additional yrs in place of BS

Tools

Argo CD

Kubernetes

Helm

AWS

Job description

Dover Networks LLC in Maryland is seeking a software engineer to join our AI infrastructure team and help build the foundation for customer AI capabilities. You will focus on ensuring access to high-quality LLMs across the inference stack, and collaborate with model vendors to create reliable pipelines for closed-source models.

The role requires Python or other modern languages, hands-on experience with Kubernetes, Helm, Argo CD, and AWS, and a strong willingness to learn and communicate.