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About the role
Tech Stack : - Python, FastAPI/Flask, Voice AI, STT/TTS, LLMs, PostgreSQL, Redis, AWS, Docker, CI/CD. ABOUT THE ROLE : We are looking for a Senior Software Developer with hands-on experience in building and deploying production-grade Voice AI Agents. The ideal candidate should have strong expertise in : - Speech-to-Text (STT) & Text-to-Speech (TTS). - Real-time conversational AI systems. - LLMs, RAG & AI Agents. - Voice orchestration & low-latency systems. - Telephony and web-based voice applications. You will work on scalable AI-native voice products involving intelligent automation, conversational workflows, and enterprise-grade Voice AI systems. RESPONSIBILITIES : - Build and deploy scalable Voice AI systems and backend services. - Design real-time conversational pipelines using STT, TTS, LLMs, and AI agents. - Work on : 1. Streaming vs batch STT. 2. Interruption handling / barge-in. 3. Low-latency voice systems. 4. Telephony and web voice integrations. 5. Async orchestration workflows. 6. Conversation memory/context strategies. 7. Agent framework orchestration. - Develop APIs using FastAPI or Flask. - Design RAG pipelines, prompt orchestration, and conversational workflows. - Implement evaluation and observability layers including : 1. Tracing & monitoring. 2. Prompt/version evaluation. 3. Hallucination monitoring. 4. Call analytics. 5. Voice quality metrics. 6. Conversation QA. 7. Fallback and recovery systems. - Optimize scalability, reliability, and performance of Voice AI systems. - Mentor junior developers and contribute to engineering best practices. REQUIREMENTS : Must-Have : - 5+ years of backend development experience in Python. - Proven experience deploying Voice AI Agents in production. - Strong expertise in STT, TTS, LLM integrations, and conversational AI systems. - Experience with FastAPI or Flask. - Experience with OpenAI, Anthropic, Gemini, or similar LLM platforms. - Strong understanding of RAG, prompt engineering, memory handling, and AI agents. - Experience with PostgreSQL, Redis, AWS, Docker, and CI/CD. - Strong system design and problem-solving skills. Nice to Have : - Experience with Twilio, Vobiz, Exotel, SIP, or telephony systems. - Familiarity with vector databases and WebSockets. - Experience with observability/monitoring tools. - Exposure to BFSI or enterprise automation domains. WHY JOIN HABILELABS : - Build cutting-edge AI & Voice AI products. - Work on real-world enterprise use cases. - High ownership and fast-paced growth culture. - Opportunity to shape next-generation AI systems. Skills : Python Voice AI STT TTS LLMs FastAPI Conversational AI RAG Telephony AWS Redis PostgreSQL Tech Stack : - Python, FastAPI/Flask, Voice AI, STT/TTS, LLMs, PostgreSQL, Redis, AWS, Docker, CI/CD. ABOUT THE ROLE : We are looking for a Senior Software Developer with hands-on experience in building and deploying production-grade Voice AI Agents. The ideal candidate should have strong expertise in : - Speech-to-Text (STT) & Text-to-Speech (TTS). - Real-time conversational AI systems. - LLMs, RAG & AI Agents. - Voice orchestration & low-latency systems. - Telephony and web-based voice applications. You will work on scalable AI-native voice products involving intelligent automation, conversational workflows, and enterprise-grade Voice AI systems. RESPONSIBILITIES : - Build and deploy scalable Voice AI systems and backend services. - Design real-time conversational pipelines using STT, TTS, LLMs, and AI agents. - Work on : 1. Streaming vs batch STT. 2. Interruption handling / barge-in. 3. Low-latency voice systems. 4. Telephony and web voice integrations. 5. Async orchestration workflows. 6. Conversation memory/context strategies. 7. Agent framework orchestration. - Develop APIs using FastAPI or Flask. - Design RAG pipelines, prompt orchestration, and conversational workflows. - Implement evaluation and observability layers including : 1. Tracing & monitoring. 2. Prompt/version evaluation. 3. Hallucination monitoring. 4. Call analytics. 5. Voice quality metrics. 6. Conversation QA. 7. Fallback and recovery systems. - Optimize scalability, reliability, and performance of Voice AI systems. - Mentor junior developers and contribute to engineering best practices. REQUIREMENTS : Must-Have : - 5+ years of backend development experience in Python. - Proven experience deploying Voice AI Agents in production. - Strong expertise in STT, TTS, LLM integrations, and conversational AI systems. - Experience with FastAPI or Flask. - Experience with OpenAI, Anthropic, Gemini, or similar LLM platforms. - Strong understanding of RAG, prompt engineering, memory handling, and AI agents. - Experience with PostgreSQL, Redis, AWS, Docker, and CI/CD. - Strong system design and problem-solving skills. Nice to Have : - Experience with Twilio, Vobiz, Exotel, SIP, or telephony systems. - Familiarity with vecto
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