Voice AI Agent Developer

Role Overview

We are looking for a Voice AI Agent Developer to design, build, and optimize conversational voice AI agents. You will work on developing intelligent, natural-sounding voice experiences that solve real user problems. This role requires hands-on technical expertise combined with a strong understanding of conversational design principles.

Responsibilities

• Design, develop, and deploy voice AI agents for production environments
• Build and fine-tune voice pipelines including speech-to-text, natural language understanding, dialogue management, and text-to-speech components
• Integrate voice agents with backend systems, APIs, and third-party services
• Optimize for latency, accuracy, and natural conversation flow
• Develop and maintain testing frameworks to ensure voice agent quality and reliability
• Collaborate with product and design teams to define conversational user experiences
• Monitor agent performance, analyze conversation logs, and implement improvements based on user interactions
• Stay current with advancements in voice AI, LLMs, and conversational AI technologies

• 2+ years of industry experience in software development
• Hands-on experience building and deploying voice AI agents or conversational AI systems
• Proficiency in Python or similar programming languages
• Experience with voice/speech technologies such as: Speech-to-Text (Whisper, Deepgram, Google STT, AWS Transcribe), Text-to-Speech (ElevenLabs, PlayHT, Amazon Polly, Google TTS), Voice AI platforms (Voiceflow, VAPI, Retell, Bland AI)
• Working knowledge of LLMs and prompt engineering for conversational applications
• Experience with dialogue management and conversation state handling
• Familiarity with real-time audio streaming and WebSocket protocols
• Strong debugging and problem-solving skills

Nice to have

• Experience with telephony integrations (Twilio, SIP, VoIP)
• Background in NLU/NLP techniques and intent classification
• Experience fine-tuning or training speech models
• Familiarity with cloud platforms (AWS, GCP, Azure)
• Experience with RAG (Retrieval-Augmented Generation) for knowledge-grounded conversations
• Understanding of conversation design best practices and VUI principles
• Contributions to open-source voice or conversational AI projects

Technical Skills

• Languages: Python, JavaScript/TypeScript
• Voice Platforms: VAPI, Retell, Voiceflow, Bland AI, or similar
• Speech Technologies: Whisper, Deepgram, ElevenLabs, PlayHT
• LLM Frameworks: LangChain, OpenAI API, Anthropic API
• Infrastructure: Docker, Kubernetes, cloud services
• Databases: PostgreSQL, Redis, vector databases

• This is an on-site role based out of Bangalore. 
• The interview process will consist of four rounds:

1. HR Screening Round – to understand your background, interests, and role fit.
2. Backend Interview - Focused on backend fundamentals, APIs, and system thinking.
3. AI / Voice AI Round – Deep dive into voice pipelines, LLMs, and building real-time conversational agents.
4. Final Round – a conversation with the CTO to assess alignment and expectations.