Senior Prompt Engineer - Data Science & Quality Analysis (India)
ItsaCheckmateIndia
Posted January 5, 2026
Full Time
About the Company
ItsaCheckmate delivers end‑to‑end digital ordering and unified commerce solutions for enterprise restaurant brands, enabling them to sell across custom websites, mobile apps, kiosks, catering, third‑party marketplaces, and voice‑AI platforms. Their platform integrates seamlessly with existing POS systems, centralizes menu management, and automates account reconciliation, refund and dispute handling, and data analytics. By combining real‑time insights, loyalty and marketing tools, and 24/7 support, Checkmate empowers restaurants to recapture revenue, personalize customer experiences, and scale new integrations quickly. The company’s distinctive advantage lies in its scalable, all‑in‑one ecosystem that unifies online and offline sales channels while providing hands‑on guidance to drive digital growth.
Job Description
Checkmate is building advanced Voice AI systems for some of the largest restaurant and retail brands in the U.S. Join us at this pivotal moment of growth to shape AI products used daily by thousands of staff and customers, combining cutting-edge LLM innovation with real business impact.
Requirements
- Design, test, and optimize LLM prompts for conversational AI, text classification, and structured data extraction tasks.
- Build evaluation pipelines to analyze prompt performance using quantitative metrics, human-in-the-loop feedback, and business KPIs.
- Conduct prompt experiments and regression testing to ensure stability, accuracy, and safety as models evolve.
- Collaborate with Machine Learning, Product, and Operations teams to translate business objectives into scalable, data-driven prompt-engineering strategies that enhance model accuracy, efficiency, and real-world usability.
- Use Python/SQL to analyze model outputs, identify anomalies, and automate quality checks.
- Document best practices and contribute to internal frameworks for prompt evaluation and continuous improvement.
- Communicate findings effectively to technical and non-technical stakeholders, driving measurable business impact through insight-driven decisions.
- Proven experience in prompt engineering and working with LLMs (GPT-4, Claude, Gemini, and LLaMA) for text generation, reasoning, and structured data extraction.