Principal Product Engineer

Role Overview # Principal Product Engineer Experience - 8+Years Location - Bengaluru, kindly revert with your updated CV at email ID - [HIDDEN TEXT] We are looking for a Principal Product Engineer to take technical ownership across two core products : An AI Evaluation Platform focused on evaluating, scoring, and analyzing GenAI systems An AI Test Execution Platform focused on running, managing, and reporting AI-driven test workflows at scale This role requires strong software engineering fundamentals combined with applied AI understanding . You will design and build production-grade systems where AI models, evaluation logic, and engineering reliability intersect . This is a hands-on senior individual contributor role , responsible for architecture, critical implementations, and technical decision-making across both products. You will work closely with ML engineers, AI QA teams, and platform engineers to ensure the products are scalable, extensible, and fit for real-world enterprise use . Key Responsibilities Own technical architecture and design for core product components Build and evolve backend systems supporting: AI evaluation workflows Test generation, scoring, and reporting pipelines Internal dashboards and APIs Translate product requirements into scalable, maintainable implementations Collaborate with: ML engineers on model and evaluation integration AI QA teams on testability and reliability Platform/DevOps on deployment and observability Review code, set engineering standards, and mentor engineers by example Balance speed vs correctness in an early-stage product environment Must-Have Skills & Experience 8–12+ years of professional software engineering experience Strong backend engineering experience (Python preferred; Java/Go acceptable) Proven experience designing and building production-grade systems Strong understanding of: APIs and service-oriented architectures Data modeling and system scalability Experience working closely with product managers or owning product requirements Good-to-Have Experience building platforms or frameworks (not just applications) Exposure to AI/ML or GenAI systems (RAG, evaluation, inference pipelines) Experience in startups or early product teams Familiarity with cloud-native development