AI Engineer – Voice

🔥 0 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 23%

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Logo of Shuru

Shuru

51 - 200 employees

Founded 2021

🤖 Artificial Intelligence

🤝 B2B

🏢 Enterprise

Artificial Intelligence • B2B • Enterprise

Shuru is a product, AI, and technology consulting firm that partners with businesses to deliver strategic consulting, full-cycle product and custom software development, and curated engineering team extension. Their AI-native engineering teams build scalable AI applications, data engineering and analytics, cloud/DevOps, and API integrations to modernize systems and accelerate product delivery. Shuru operates globally with a remote-first model and emphasizes high ownership, design thinking, and measurable outcomes for enterprise and startup clients.

📋 Description

• Design and develop production-ready AI voice agents and conversational voice applications • Integrate STT, LLM, and TTS technologies into real-time voice pipelines • Build integrations with Twilio, SIP, WebRTC, and LiveKit • Develop backend services, APIs, WebSocket connections, and event-driven systems • Implement RAG, function calling, tool use, memory, and multi-step AI agent workflows • Optimize voice applications for latency, interruption handling, turn-taking, accuracy, and conversational quality • Integrate voice agents with CRMs, databases, calendars, customer-support systems, and third-party APIs • Develop monitoring, logging, analytics, and evaluation frameworks for voice conversations • Test and improve transcription accuracy, response quality, TTS naturalness, and overall user experience • Deploy and maintain scalable AI services in cloud environments • Collaborate with product, engineering, and business teams to translate requirements into voice AI solutions

🎯 Requirements

• 5-10 years of work experience • Strong programming experience in Python and/or Node.js/TypeScript • Experience building applications using LLMs and generative AI APIs • Knowledge of Speech-to-Text and Text-to-Speech systems • Experience with REST APIs, WebSockets, asynchronous programming, and real-time systems • Understanding of prompt engineering, function calling, AI agents, and RAG • Experience working with databases and vector databases • Familiarity with cloud platforms such as AWS, GCP, or Azure • Strong debugging, problem-solving, and software engineering skills • Understanding of Git, CI/CD, containerization, and production deployment practices

🏖️ Benefits

• Competitive salary and benefits package • Opportunities for learning, mentorship, and career growth • Work with experienced product and engineering leaders • Opportunity to make a real impact across diverse, innovative projects

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