About the role

Founding Engineer at Keplar Voice developing GenAI solutions for market research. Collaborate with founding team to shape a product defining customer understanding.

Responsibilities

Own core parts of the product stack and help chart the technical direction of the company.
Deploy foundation models for dynamic, 1-1 human conversations, reasoning, and thematic analysis at scale.
Advance our pipeline for voice generation, speech recognition, and real-time conversation orchestration.
Build features that make research faster and more intuitive for end-users — from insights dashboards to collaboration tools.
Design systems that reliably run thousands of AI-mediated interviews concurrently, manage growing datasets, and integrate securely into enterprise workflows.
Work closely with Growth and Customers to bring product feedback into the roadmap.

5+ years of full stack software engineering experience, ideally with exposure to ML/AI products or infrastructure.
Experience shipping production systems in a fast-paced startup environment (0→1 or 1→10).
Strength in one or more of: backend systems, ML/AI pipelines, full-stack web, real-time/voice infrastructure.
Curiosity and ability to go deep in applied R&D areas like LLMs, voice generation, speech recognition, and reasoning models.
High energy builder mindset that biases for action. Excitement for ambiguity. There’s lots to build and lots we don’t know.