QualityKiosk Technologies Pvt. Ltd.
Website:
qualitykiosk.com
Job details:
Role Overview
# Principal Product Engineer
Experience - 8+Years
Location - Bengaluru,
kindly revert with your updated CV at email ID - clive.lobo@qualitykiosk.com
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
Click on Apply to know more.