AI Infrastructure / Product Engineer

📋 Description

• Design, build, and maintain repeatable benchmarks and evaluation pipelines to measure the
• Assess model accuracy, hallucination rates, retrieval quality, latency, and operational costs to
• Develop dashboards and monitoring tools that provide clear visibility into performance metrics
• Establish evaluation processes that support continuous testing, comparison, and optimization of AI
• Transform research prototypes and experimental AI capabilities into reliable, production-ready
• Develop and improve AI-powered retrieval, document processing, drafting, and agent-based workflows.

🎯 Requirements

• At least 3 years of professional experience as a Software Engineer, Infrastructure Engineer
• Strong programming skills in Python, with practical experience developing, maintaining, and
• Hands-on experience with cloud infrastructure and the deployment and operation of production
• Demonstrated experience building evaluation pipelines, benchmarks, or assessment frameworks for
• Understanding of AI performance evaluation, including model accuracy, hallucination detection
• Experience developing backend services, REST APIs, database integrations, and internal engineering

🎁 Benefits

• Competitive Compensation: Annual base salary ranging from $180,000 to $260,000 USD, depending on
• Remote Work: Fully remote position within the United States.
• Professional Growth: Opportunity to work at the intersection of AI research, infrastructure
• Technical Impact: Direct involvement in transforming experimental AI technologies into reliable
• Innovation: Exposure to advanced AI technologies, LLMs, retrieval systems, and intelligent
• Cross-Functional Collaboration: Work closely with AI researchers, engineers, and product