Voice AI Engineer

iNextLabs
Chennai, Tamil Nadu, India

Experience: 2–3 Years

Employment Type: Full-Time

Department: Engineering / AI Development

Location: Chennai / Coimbatore, India

About iNextLabs

iNextLabs is a Generative AI-focused technology company developing intelligent AI solutions that help businesses automate processes, enhance customer engagement, and improve operational efficiency.

Job Summary

We are looking for a skilled Voice AI Engineer with 2–3 years of experience in software development, conversational AI, and speech technologies. The candidate will develop and integrate AI-powered voice assistants using Large Language Models (LLMs), Speech-to-Text (STT), and Text-to-Speech (TTS) technologies to deliver natural, real-time conversational experiences.

Key Responsibilities

  • Develop and maintain AI-powered voice assistants and conversational applications.
  • Integrate Speech-to-Text (STT) and Text-to-Speech (TTS) services into voice AI solutions.
  • Integrate LLMs to enable intelligent, context-aware voice conversations.
  • Build real-time voice processing workflows with low latency and responsive interactions.
  • Develop APIs and integrate voice AI applications with databases and external systems.
  • Work with streaming audio, WebSockets, and asynchronous programming.
  • Implement prompt engineering and conversation context management.
  • Test, debug, and optimize voice AI applications for accuracy, performance, and reliability.
  • Collaborate with AI engineers and software development teams to deliver production-ready solutions.
  • Assist in deploying and monitoring applications on cloud platforms.

Required Skills

  • 2–3 years of experience in software development, AI engineering, or conversational AI.
  • Proficiency in Python and/or Node.js.
  • Hands-on experience integrating LLM APIs and Generative AI applications.
  • Knowledge of Speech-to-Text (STT), Text-to-Speech (TTS), and voice processing.
  • Experience with REST APIs, WebSockets, and real-time application development.
  • Familiarity with prompt engineering and conversational AI workflows.
  • Knowledge of Git, debugging, and software development best practices.
  • Basic experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud.

Good to Have

  • Experience with Azure AI Speech, OpenAI Realtime API, Google Speech APIs, or similar services.
  • Familiarity with voice AI frameworks such as LiveKit Agents, Vapi, or Pipecat.
  • Knowledge of WebRTC, SIP, VoIP, or telephony integrations.
  • Familiarity with Retrieval-Augmented Generation (RAG) and vector databases.
  • Experience with Docker and cloud application deployment.

Educational Qualifications

Bachelor’s degree in computer science, Information Technology, Engineering, or a related field.

Key Competencies

  • Strong analytical and problem-solving skills.
  • Ability to learn and adapt to emerging AI technologies.
  • Good communication and teamwork skills.
  • Focus on code quality, performance, and reliable delivery.

Preferred Candidate Profile

A hands-on engineer who enjoys building AI-powered voice applications and has practical experience integrating speech technologies with LLMs to create intelligent, real-time voice assistants.

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Questions about this job

How do I apply for the Voice AI Engineer job at iNextLabs?

Use the apply link on this page: you apply directly with iNextLabs on LinkedIn. Before you do, score your resume against this job description on Fitboard. It shows which skills and keywords the job asks for that your resume doesn't show, so you can fix them first.

What skills does iNextLabs want for this Voice AI Engineer role?

The job description asks for 2–3 years of experience in software development, AI engineering, or conversational AI, Proficiency in Python and/or Node.js, Hands-on experience integrating LLM APIs and Generative AI applications, Knowledge of Speech-to-Text (STT), Text-to-Speech (TTS), and voice processing, Experience with REST APIs, WebSockets, and real-time application development, Familiarity with prompt engineering and conversational AI workflows, Knowledge of Git, debugging, and software development best practices and Basic experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud. Make sure your resume shows the ones you have, in the words the job uses: applicant tracking systems look for them.

How can I get a job at iNextLabs?

Apply to the iNextLabs roles that match your experience, and tailor your resume to each job description: for this role that means showing 2–3 years of experience in software development, AI engineering, or conversational AI, Proficiency in Python and/or Node.js, Hands-on experience integrating LLM APIs and Generative AI applications. A resume that matches the job's own keywords is more likely to get past screening. Fitboard scores your resume against this exact job for free.

Is this Voice AI Engineer job remote or onsite?

This is based in Chennai, Tamil Nadu.

Is it free to apply? Does Fitboard charge anything?

Applying is free: you apply directly with iNextLabs, and this job page and its apply link cost nothing. Checking your resume against this job is free too, with 3 free scans when you sign in and no credit card needed.

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