Senior AI/ML Engineer for Production LLM Pipelines

Supermicro; Wayne (CA); On-site; USD 160,000 - 200,000; Full time

Job summary

Supermicro is seeking a top‑notch hands-on Sr. Software Engineer to work on PCIe, SAS/SATA, USB and other HW related areas of storage and server products.

As part of our small but important software engineering team, you will be responsible for leading the projects and provide technical expertise and recommendations to support and enhance our development projects. Responsibilities include creating end-to-end AI agent pipelines for high‑volume support tickets, connecting data sources, presenting

Qualifications

• Bachelor's degree in Computer Science, Mathematics, IT, or other related field (or equivalent practical experience).
• Software engineering background with experience shipping production services.
• Strong proficiency in Python and ML/LLM frameworks.
• Proficiency with Linux, Git, and Docker; Experience with SQL, NoSQL, and vector databases.
• Experience building and deploying production-ready systems that use large language models.
• Strong problem-solving and communication skills.
• Experience handling confidential or sensitive customer data.

Responsibilities

• Create and maintain several end-to-end AI agent pipelines that handle high-volume customer support and technical tickets.
• Connect and process data from various internal and external data sources.
• Present demonstrations and updates to internal stakeholders.
• Define success metrics and iterate deployed services based on production feedback.

Skills

Python

ML/LLM frameworks

Linux

Communication skills

Problem-solving

Education

Bachelor's degree in CS/Math/IT or related field

Tools

Git

Docker

SQL

NoSQL

Vector databases

LangChain or similar

Job description

Supermicro is seeking a top‑notch hands-on Sr. Software Engineer to work on PCIe, SAS/SATA, USB and other HW related areas of storage and server products.

As part of our small but important software engineering team, you will be responsible for leading the projects and provide technical expertise and recommendations to support and enhance our development projects. Responsibilities include creating end-to-end AI agent pipelines for high‑volume support tickets, connecting data sources, presenting