Developer building ETL pipelines, SQL models, and data warehouses for Sirva’s relocation services. Integrating source data using Python, Azure, Databricks, and SQL Server.
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.
Requirements
- 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.
Benefits
- Competitive salary + meaningful early-stage equity
- High-ownership, high-impact role
- Work directly with CEO and founding team
- Mentoring early hires and contributing to culture
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