Sr. Software Engineer - AI Evaluation and Knowledge

Supermicro; Wayne (CA); Vor Ort; USD 160.000 - 200.000; Vollzeit

Zusammenfassung

Supermicro is building an AI Agent-powered platform to handle customer issues related to AI Servers and Racks. This role focuses on the quality of agent outputs, evaluation systems, and continuous improvement of the Knowledge Base, ensuring the agent produces accurate and actionable troubleshooting steps.

The ideal candidate will design evaluation frameworks, own prompt engineering, manage knowledge base quality, analyze errors, and work with domain SMEs to validate steps, while tracking metrics

Qualifikationen

• 2+ years experience in LLM / Gen AI evaluation.
• Strong prompt engineering skills to reduce hallucinations.
• Experience evaluating LLM/Agent outputs.
• Familiarity with RAG or Knowledge Base management.
• Excellent analytical and cross-team communication.
• Ability to turn domain feedback into concrete improvements.
• Proficient in Python for basic evaluation scripts.
• Experience in technical support or AI agent applications is a plus.
• Experience with LLM-as-judge or A/B testing is a plus.
• Experience with knowledge engineering or data annotation is a plus.
• Ability to work with non-AI domain experts.

Aufgaben

• Design and maintain agent evaluation framework (test sets, scoring, sampling, regression tests).
• Own prompt engineering and output optimization to improve accuracy.
• Manage knowledge base quality processes (reviews, versioning, retirement, updates).
• Analyze agent errors and hallucinations; implement improvements.
• Collaborate with domain SMEs to validate troubleshooting steps.
• Establish feedback loop from on-site results to agent improvements.
• Define and track success metrics (first-time accuracy, step usability).
• Support RAG retrieval quality tuning and knowledge presentation improvements.

Kenntnisse

LLM / Gen AI

Prompt Engineering

Evaluation pipelines

RAG Knowledge Base

Analytics

Domain feedback

Python

Tech support AI

LLM-as-judge

Knowledge engineering

Cross-domain collab

Tools

Python

Jobbeschreibung

About Supermicro:

Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide. We are the #5 fastest growing company among the Silicon Valley Top 50 technology firms. Our unprecedented global expansion has provided us with the opportunity to offer a large number of new positions to the technology community. We seek talented, passionate, and committed engineers, technologists, and business leaders to join us.

Job Summary:

We are building an AI Agent-powered platform to handle customer issues related to AI Servers and Racks. This role focuses on the quality of agent outputs, evaluation systems, and continuous improvement of the Knowledge Base, ensuring the agent produces accurate and actionable troubleshooting steps.

Essential Duties and Responsibilities:

• Design and maintain the agent evaluation framework (test sets, automated scoring, human sampling review, regression testing)
• Own Prompt Engineering and structured output optimization to improve step accuracy
• Manage Knowledge Base quality processes (content review, version control, retirement of outdated content, writing back new cases)
• Analyze agent errors and hallucinations, then propose and implement improvements
• Work closely with Domain SMEs to validate the correctness and practicality of troubleshooting steps
• Establish a feedback loop from on-site execution results back into agent improvements
• Help define success metrics (e.g., first-time accuracy rate, step usability rate) and track them continuously
• Support RAG retrieval quality tuning and knowledge presentation improvements

Qualifications:

• Experience in LLM / Generative AI applications, with practical experience in evaluation or quality (2+ years of experience is preferred)
• Strong familiarity with Prompt Engineering and practical methods to reduce hallucinations
• Experience systematically evaluating LLM or Agent outputs
• Experience with RAG or Knowledge Base implementation / management
• Strong analytical and cross-team communication skills
• Ability to turn domain expert feedback into actionable improvements
• Familiarity with Python and ability to implement basic evaluation or data processing scripts
• Experience in technical support, troubleshooting, or vertical AI Agent applications is a plus
• Experience with LLM-as-judge, automated evaluation pipelines, or A/B testing is a plus
• Experience in knowledge engineering, data annotation, or case library building is a plus
• Experience collaborating with non-AI domain experts is a plus

Salary Range

$160,000 - $ 200,000

The salary offered will depend on several factors, including your location, level, education, training, specific skills, years of experience, and comparison to other employees already in this role. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation, such as participation in bonus and equity award programs.

EEO Statement

Supermicro is an Equal Opportunity Employer and embraces diversity in our employee population. It is the policy of Supermicro to provide equal opportunity to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or special disabled veteran, marital status, pregnancy, genetic information, or any other legally protected status.