Teams at CheQ (India)

Build and own end-to-end AI and machine learning services, integrate trained ML and GenAI models into applications, and collaborate across teams on complex initiatives. The role requires developing AI/ML/LLM modules, working with Python frameworks and data stores, maintaining CI/CD pipelines, implementing event-driven architectures, and applying expertise in LLMs, vector databases, embeddings, prompt and context engineering, and cloud services.

Lead CheQ’s mobile engineering strategy across Android and iOS. Own the roadmap, architecture, delivery, quality, reliability, security, CI/CD, and developer productivity. Build and scale high-performing mobile teams, including engineering managers and senior technical leaders. Partner with Product, Design, Business, Platform, and DevOps leadership to deliver impactful B2C products integrated with cloud services, APIs, and real-time systems.

Own data quality, annotation, AI response evaluation, benchmarking, production monitoring, and root cause analysis for Wisor, CheQ’s AI-powered financial assistant. The role involves auditing transaction and merchant data, maintaining golden datasets and evaluation frameworks, tracking quality metrics, reviewing user interactions, identifying hallucinations and inaccuracies, supporting incident investigations, and collaborating with Product, Data Science, and Engineering teams to prioritize improvements.