Principal Product Engineer

Role Overview

# Principal Product Engineer

Experience - 8+Years

Location - Bengaluru,

kindly revert with your updated CV at email ID - [Confidential Information]

We are looking for a Principal Product Engineer to take technical ownership across two core products:

1. An AI Evaluation Platform focused on evaluating, scoring, and analyzing GenAI systems
2. 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

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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