Voice AI Product Engineer (3-8 years)

Our client is a business services organization that leverages AI and digital tools, along with human resources, to support customer-facing and operational activities. The company works with organizations across sectors and provides assistance in communication, sales support, and service operations, focusing on improving efficiency and scalability.

Job Description: Product Engineer - II

Location: Sec 3, Noida

Experience: 3 - 8 Years

Qualification: Bachelor's degree in engineering or a related field.

As a Product Engineer – II, you’ll work on building and evolving production-grade Voice AI systems that customers actively use. You’ll operate close to real deployments, identifying gaps surfaced by live usage, designing solutions, and shipping them into production. Some work moves fast, while some is planned and iterative, with priorities driven by real customer outcomes rather than long-term pre-defined roadmaps. You’ll leverage the platform to configure, extend, and build AI-native workflows while writing production-quality code where needed, and work in a small pod alongside Customer Success and AI PM partners, owning technical execution end-to-end.

Responsibilities:

• Building custom integrations, tools, and AI workflows that unblock customer needs
• Designing and refining AI prompts, RAG systems, and LLM-based solutions
• Writing production-quality code (Python / JavaScript) with the same standards as core engineering
• Deciding whether solutions should remain custom, become reusable, or move into the core product
• Collaborating with core engineering teams to upstream learnings and reduce future friction.

Requirements:

• Strong programming fundamentals (Python / JavaScript preferred, but talent > language)
• Comfort with ambiguity and incomplete requirements
• Curiosity about AI / ML in production (expertise is a bonus, not a requirement)
• Ownership: Takes end-to-end responsibility for outcomes, not just tasks; drives problems to resolution even across unclear boundaries.
• Pragmatic: Focused on solutions that work now
• Curious: Wants to understand the “why” behind problems
• Entrepreneurial: Treats technical problems as business problems
• Communicative: Can translate technical decisions into a business context
• AI Native: Exposure to AI systems or prompt & context engineering.