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Hupo

Full Stack Engineer - VoiceAI

Posted 2 months ago
2-5 years experience
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AI Summary

Develop and ship AI-driven sales enablement products, including LLM orchestration, RAG pipelines, and real-time voice features. Design and implement agentic workflows while integrating with CRM systems and enterprise data sources.

About Hupo

We are an AI-native start-up building sales enablement products in the banking, financial services, and insurance industry; already trusted by dozens of enterprise customers (including Fortune 500 companies).

Role at a Glance

Title: Senior Full Stack Engineer - AI Products
Team: Engineering
Employment Type: Full-time
Location
Singapore: Hybrid
Southeast Asia (SEA): Remote (Must align with SEA timezones)

What You'll Do

  • Build and ship AI-driven products across the sales lifecycle (lead qualification, meeting prep, live assistance, roleplay, outbound, follow-ups)

  • Develop LLM orchestration and RAG pipelines using CRM data, product knowledge, and customer context

  • Work on real-time and voice features, including low-latency pipelines, transcription, and in-call AI support

  • Design and implement agentic workflows (multi-step AI tasks, automation, outbound sequences)

  • Integrate with CRM systems, communication platforms, and enterprise data sources

  • Contribute to scalable, multi-tenant architecture for enterprise clients

  • Take features from concept to production, including design, implementation, and iteration

What We're Looking For

Must-Haves

  • 4+ years of experience in backend or full-stack engineering

  • Strong proficiency in Node.js and TypeScript

  • Experience building and shipping AI-powered features in production

  • Experience in voice or real-time systems (STT, TTS, streaming)

  • Solid understanding of system design (APIs, async workflows, real-time systems, data modeling)

  • Comfortable working in fast-moving, ambiguous environments

Nice-to-Haves

  • Experience with LLM workflows, RAG pipelines, or agentic systems

  • Experience building multi-tenant SaaS platforms

  • Familiarity with cloud infrastructure (e.g. AWS)

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