AI Product Engineer

Role overview Build and ship AI product features across the full path from data and models to APIs and user-facing functionality. You’ll work in a small product team focused on productivity intelligence, turning ideas into short delivery cycles and making sure automated scores and recommendations can be traced to their underlying events.

Responsibilities - Deliver end-to-end AI features in focused, one-to-three-week increments. - Integrate language model workflows for scoring, recommendations, and anomaly detection. - Create audit trails that let teams reproduce AI outputs from source events. - Own model evaluation workflows, including labeled reference datasets, reviewer agreement, and A/B testing. - Collaborate on integrations across product layers, from data capture through recommended actions. - Work directly with product leadership to shape specifications and implementation.

Requirements - 4–7 years of software engineering experience with Python, TypeScript, or Node.js. - At least one production ML or AI feature shipped end to end. - Strong SQL, system design, API design, and data modeling fundamentals. - Practical fluency with prompt design, retrieval-augmented generation, agent workflows, and evaluation. - Familiarity with Azure services such as Static Web Apps, Functions, and AI services. - Clear written communication, comfort with ambiguity, and alignment with privacy-first, anti-surveillance values.

Benefits and work setup - Ahmedabad office or remote work within India. - Competitive base salary, equity grant, health insurance, and a learning budget. - Direct access to product leadership and ownership of features used across the product. - AI-supported workflows are part of the team's default working approach.