Voicebot Developer

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Role Overview

Ozonetel is looking for a Voicebot Developer who can design, build, run, test, and debug production-grade voicebots using a low-code workflow platform similar to n8n. This role is hands-on and execution-heavy — ideal for someone who understands how conversational flows behave on live calls, not just on diagrams.

You will work closely with product, AI, and CX teams to translate real customer journeys into working voicebots, debug call-level issues, and continuously improve bot performance.

Key Responsibilities

Design and build voicebot flows using a low-code workflow orchestration platform (similar to n8n), integrating APIs, conditions, and business logic.

Implement conversational logic including intent routing, slot collection, error handling, retries, fallbacks, and call transfers.

Configure and integrate STT, TTS, and LLM-based components for voice interactions.

Run end-to-end testing of voicebots using real call scenarios and test numbers.

Debug production and pre-production issues using call logs, transcripts, API responses, and workflow execution traces.

Identify and fix issues related to interruptions, silence handling, latency, incorrect intent resolution, and API failures.

Collaborate with product managers, UX designers, and QA teams to refine flows based on feedback and test results.

Deploy and monitor voicebots across environments (dev, UAT, production).

Maintain documentation for flows, configurations, and known edge cases.

Required Skills & Qualifications

Hands-on experience building workflows using low-code or no-code platforms (n8n, Node-RED, Zapier, Make, etc.).

Strong understanding of conversational AI concepts such as intents, entities, turn-taking, fallbacks, and context management.

Experience working with APIs (REST/JSON), webhooks, and third-party integrations.

Comfortable reading and debugging logs, execution traces, and structured data (JSON).

Basic scripting or programming knowledge (JavaScript or Python preferred) to handle custom logic when required.

Understanding of voicebot-specific challenges like barge-in, silence detection, retries, and call flows.

Ability to test flows systematically and think through edge cases.

Good to Have

Experience with telephony or voice platforms (SIP, IVR systems, call flows).

Exposure to STT/TTS providers and LLM-based conversational systems.

Experience working on customer support or contact-center voicebots.

Familiarity with QA processes, test case creation, and defect tracking.

Basic understanding of cloud environments and deployments.

What We’re Looking For

Someone who enjoys breaking things to make them better.

A builder who is comfortable moving between flow design, testing calls, and debugging logs.

Strong problem-solving mindset — you should be curious about why a bot behaved a certain way.

Ability to work independently while collaborating closely with cross-functional teams.

Why Join Us

Work on real, high-scale voicebot deployments used by actual customers.

Build conversational AI systems that go beyond demos and into production.

Opportunity to grow into senior conversational AI, product, or platform roles.

• Fast-moving environment with ownership and visible impact.