Job Description: AI Voice Systems Engineer

Job Summary

For more than 20 years, TekVizion has been the trusted leader in enterprise voice communication—helping global service providers and enterprises build, validate, and evolve the systems that keep the world connected. Today, we're extending that leadership into the next frontier: Voice AI Assurance and Observability. With our unmatched expertise in enterprise voice, we're uniquely positioned to guide organizations as they shift to AI‑driven voice workflows, ensuring reliability, trust, and consistently exceptional customer experiences.

Joining TekVizion means stepping into a culture built on innovation, curiosity, and meaningful impact. Here, your ideas don't sit on the sidelines—they shape the future of how businesses communicate. You'll collaborate with a team that thrives on solving complex challenges and delivering technologies that empower organizations worldwide.

We are currently seeking an AI Voice Systems Engineer to help drive this next chapter. This role blends software engineering, automation, telecom expertise and AI‑powered communication systems to build the future of enterprise voice.

Key Responsibilities

· Design and build a framework/tool to automate testing of AI-driven bots and Voice AI systems

· Develop capabilities to simulate AI-to-AI and human-to-AI conversational interactions

· Contribute to building and scaling an AI-driven testing practice within the organization

· Leverage modern AI tools and techniques to enhance automation, test coverage, and system intelligence

· Work on Voice AI platforms to validate conversational flows, responses, and system behavior

· Understand and analyze end-to-end call flows, including signaling and media paths

· Apply knowledge of SIP (Session Initiation Protocol) and media handling (RTP, codecs, latency, etc.) to troubleshoot and validate systems

· Identify gaps in AI bot behavior and improve conversation accuracy, response handling, and reliability

· Collaborate with engineering and product teams to improve AI bot performance in real-world scenarios

· Experiment with new approaches to testing conversational and agentic AI systems

· Build reusable tools and solutions that can scale across multiple AI/voice platforms

· Experiment with new approaches to test and improve conversational AI

· Work on real-time event-driven systems and asynchronous workflows

· Contribute ideas to enhance automation, efficiency, and system intelligence

· Drive innovation in creating a testing AI for AI systems ecosystem, moving beyond traditional QA approaches

Technology Exposure

· Voice AI platforms and conversational systems

· SIP signaling, RTP/media streams, call flows

· APIs, WebSockets, and real-time systems

· AI/ML-based interaction models

· Automation frameworks and scripting tools

Required Skills and Qualifications

· Bachelor's degree in Computer Science, Information Technology, or related field

· Strong programming skills in JavaScript (Node.js preferred)

· Solid understanding of REST APIs, asynchronous programming (async/await, Promises), and backend systems

· Basic understanding of real-time systems (WebSockets, event-driven architectures, or similar concepts)

· Familiarity with MCP, API testing, debugging, and system integration concepts

· Exposure to or strong interest in AI/ML, conversational systems, or automation

· Understanding of data structures, problem-solving, and logical thinking

· Ability to understand and work with end-to-end system flows (input → processing → response)

· Good analytical skills to identify issues in system behavior and edge cases

· Strong communication skills and ability to work in a collaborative, fast-paced environment

Preferred / Good to Have Skills

· Exposure to Voice AI, chatbots, or conversational platforms

· Basic knowledge of SIP, VoIP, or call flow concepts

· Understanding of media handling (audio streams, latency, codecs – basic level)

· Experience with automation tools or scripting (Playwright, Selenium, etc.)

· Basic knowledge of Python (for AI/automation use cases)

· Experience with MERN stack or full-stack development

This Role is Ideal For Candidates Who:

· Enjoy building tools and systems from scratch

· Are curious about how AI systems behave in real-world scenarios

· Want to move beyond traditional development or testing roles

· Are excited about working on emerging areas like Agentic AI and Voice AI

What We Offer

· Opportunity to work on cutting-edge Voice AI and conversational systems

· Exposure to global enterprise clients and communication platforms

· A fast-paced environment with strong learning and growth opportunities

· Clear career progression into AI Systems, Automation, and Advanced Engineering roles

· Collaborative and innovation-driven work culture