Voice AI Engineer

Ironbook AI
India

About the Role

We are looking for a talented AI Engineer with hands-on experience in Voice AI, Speech AI, Conversational AI, and Generative AI technologies. The ideal candidate will design, develop, and optimize voice-based AI solutions, including speech recognition, speech synthesis, conversational agents, and multilingual voice applications.

This role requires expertise in machine learning, deep learning, natural language processing (NLP), Automatic Speech Recognition (ASR), Text-to-Speech (TTS), and Large Language Models (LLMs).

Key Responsibilities

  • Design and develop Voice AI solutions leveraging ASR, TTS, NLP, and LLM technologies.
  • Build and optimize conversational AI systems, voice assistants, and AI agents.
  • Fine-tune and deploy speech recognition and speech synthesis models.
  • Develop multilingual and domain-specific voice AI applications.
  • Integrate Voice AI solutions with cloud platforms, APIs, and enterprise systems.
  • Collaborate with Product, Engineering, and Data Science teams to deliver scalable AI products.
  • Monitor model performance and continuously improve accuracy, latency, and user experience.
  • Conduct experimentation and evaluation of speech and language models.Required Skills
  • Strong experience in Machine Learning and Deep Learning.
  • Hands-on experience with Speech AI technologies:
  • Automatic Speech Recognition (ASR)
  • Text-to-Speech (TTS)
  • Speech-to-Text (STT)
  • Speaker Recognition / Voice Biometrics
  • Experience building Conversational AI or Voice Agents.
  • Strong programming skills in Python.
  • Experience with PyTorch, TensorFlow, or similar ML frameworks.
  • Familiarity with NLP techniques and Large Language Models (LLMs).
  • Experience deploying AI models in production environments.
  • Understanding of cloud platforms such as AWS, Azure, or GCP.Preferred Qualifications
  • Experience with speech frameworks such as Whisper, DeepSpeech, Kaldi, SpeechBrain, NVIDIA NeMo, or equivalent.
  • Experience working with multilingual speech datasets, especially Indian languages.
  • Exposure to Retrieval-Augmented Generation (RAG), Agentic AI, and LLM orchestration frameworks.
  • Experience with MLOps, model monitoring, and scalable AI infrastructure.
  • Contributions to open-source AI or speech-related projects.Nice to Have
  • Experience with Voice Agent platforms and real-time conversational systems.
  • Knowledge of telephony integrations, contact center AI, or customer support automation.
  • Experience working with streaming audio pipelines and low-latency AI applications.Education

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.

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Questions about this job

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

Use the apply link on this page: you apply directly with Ironbook AI 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 Ironbook AI want for this Voice AI Engineer role?

The job description asks for Machine Learning, Deep Learning, Automatic Speech Recognition (ASR), Text-to-Speech (TTS), Speech-to-Text (STT), Speaker Recognition / Voice Biometrics, Python and PyTorch. 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 Ironbook AI?

Apply to the Ironbook AI roles that match your experience, and tailor your resume to each job description: for this role that means showing Machine Learning, Deep Learning, Automatic Speech Recognition (ASR). 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 India.

Is it free to apply? Does Fitboard charge anything?

Applying is free: you apply directly with Ironbook AI, 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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