AI Engineer

• Embed with strategic client as their technical partner for AI system calibration and prompt optimization.
• Build production-grade calibration systems using Python within the client's Azure environment.
• Implement DSPy framework and GEPA optimizer to systematically improve prompt quality and retrieval performance.
• Design and develop Golden Dataset curation workflows using Azure Data Labeling, establishing gold/silver data tier schemas.
• Create evaluation frameworks to measure model accuracy, precision/recall, latency, and hallucination rates.
• Architect prompt optimization pipelines for retrieval, context synthesis, and answer generation tailored to client needs.
• Own the path to production - evaluation pipelines, Azure ML workflows, KPI dashboards, and optimization automation.
• Iterate rapidly based on client feedback and KPI results, translate business goals into technical calibration improvements.
• Establish measurable KPIs and demonstrate accuracy improvements, latency reduction, and hallucination mitigation.

AI Engineer, System Calibration & Optimization

Senior AI Engineer

AI Engineer Intern, Summer 2026

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Senior AI Engineer, AI Services

AI Engineer, AI Services