Artificial Intelligence Engineer

JD: AI Engineer, Voice AI Startup (Hybrid-Bengaluru)

Job Overview

• Budget:

   ₹25–30 LPA (Annual CTC) 

• Company:

   Voice AI Startup

• Location:

   Bengaluru

• Experience:

  Minimum 2+ years of hands-on experience in speech-centric ML (ASR, NLU, TTS)

• Reports to:

  CEO/Co-Founder 

• Job Type:

   Hybrid (3 Days from Office)  

About the Client

Startup in Voice AI

Role Summary

AI Engineer with deep expertise in speech-centric machine learning

Key Responsibilities

• Architect, develop, and deploy

  speech-centric ML models (ASR, NLU, TTS)

  for real-time, production use-cases
• Optimize AI pipelines for low latency, reliability, and scalability
• Build and maintain multi-tenant architectures, managing client-specific configurations and deployments
• Integrate agentic frameworks and external tools/APIs into conversational AI workflows
• Implement and improve voice activity detection, turn-taking, and session management in live systems
• Collaborate with engineers across the stack to deliver seamless AI integrations
• Conduct rigorous testing and stress-testing of voice agents in noisy, real-world scenarios
• Fine-tune models using large-scale audio datasets; generate and clean synthetic data as needed
• Monitor and evaluate model performance using relevant metrics (latency, accuracy, quality)
• Stay up-to-date with the latest AI research, tools, and best practices; proactively bring new ideas to the team
• Contribute to developer documentation and technical reports

Minimum Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

• Total 5+ years of experience as Software Engineer with at least 2+ years of

  hands-on experience in speech-centric machine learning (ASR, NLU, TTS) and transformer-based models.

• Proficient in Python and at least one major ML framework (TensorFlow, PyTorch)
• Real-world experience deploying ML models to production for real-time audio/voice
• Strong understanding of agentic/conversational AI architectures
• Experience with prompt engineering and integrating external APIs/tools with LLMs
• Track record of optimizing AI pipelines for low latency and reliability
• Experience with cloud/MLOps (AWS/Azure/GCP, CI/CD, Docker, Kubernetes)
• Familiarity with telephony/voice-based solutions (Twilio, WebRTC, etc.)
• Comfortable working in a fast-paced, early-stage startup environment
• Excellent communication skills and ability to document technical decisions
• Candidates who have worked with or similar companies like Sarwam AI, Futwork, Olive AI, Convin, Yellow.ai, Uniphore, Observe.AI, Skit.ai, Gnani.ai and RaftLabs will be preferred.  

Preferred Qualifications

• Experience with multi-tenant or scalable AI architectures
• Experience with large-scale audio datasets and synthetic data generation
• Prior exposure to developer documentation and technical writing

Why Join?

• Opportunity to work at the forefront of voice AI with a high-ownership, high-impact role
• Collaborative, intellectually curious, and mission-driven team
• Exposure to cutting-edge research and real-world deployment at scale
• Competitive compensation for the right candidate

Note:

This job description outlines the general nature and scope of work for this role. It is not an exhaustive list of all duties, responsibilities, or qualifications required of employees in this position. For any further queries, get in touch with us at faisal@goodhiresonly.com