Senior Software Engineer

Supermicro

. Create and maintain end-to-end AI agent pipelines for high-volume customer support and technical tickets .

Posted 9/15/2026full-timeSan Jose • California • United StatesSenior💰 $160,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in creating and maintaining AI agent pipelines, with strong proficiency in Python and ML/LLM frameworks. Capable of integrating models via APIs and ensuring compliance with data handling standards.

Highest-signal resume keywords

Python ProficiencyML/LLM FrameworksLinux ExperienceMLOps PracticesData Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringProduction ServicesSQLNoSQLVector DatabasesLarge Language ModelsAPI IntegrationModel EvaluationData ProcessingTechnical Project Leadership

Soft Skills

Problem-SolvingCommunication

Tools & Technologies

GitDockerLangChainPCIeSAS/SATAUSB

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceMathematicsIT

Industry Keywords

AI Agent PipelinesCustomer SupportTechnical TicketsConfidential Data HandlingProduction Feedback

Tech Stack

Tools & technologies

DockerLinuxNoSQLPythonSQL

About the role

Key responsibilities & impact

Create and maintain end-to-end AI agent pipelines for high-volume customer support and technical tickets
Connect and process data from internal and external data sources
Present demonstrations and updates to internal stakeholders
Define success metrics and iterate deployed services based on production feedback
Lead projects and provide technical expertise and recommendations to support and enhance development projects
Work on PCIe, SAS/SATA, USB, and other hardware-related areas of storage and server products

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Mathematics, IT, or another 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
Hands-on experience with LLM tooling and agent frameworks such as LangChain or similar
Familiarity with MLOps practices and/or model evaluation frameworks
Experience integrating models via APIs and serving them at scale

Benefits

Comp & perks

Comprehensive benefits package
Potential bonus participation
Potential equity award program participation