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AI Developer – Voice AI Application
Webential Technologies Pvt Ltd · Ahmedabad, India
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AI Developer – Voice AI Application Experience 2–3 Years Job Type Full-Time Job Overview We are looking for an AI Developer with 2–3 years of experience to join our team and work on the development of custom Voice AI applications . The ideal candidate should have hands-on experience with LLMs, Speech-to-Text (STT), Text-to-Speech (TTS), conversational AI, and AI application development . The candidate will be responsible for developing the complete application, including both backend and frontend , and will be involved in researching and evaluating different AI technologies to achieve the best balance of voice quality, response accuracy, performance, scalability, and cost . Key Responsibilities
- Develop custom Voice AI applications based on business and technical requirements.
- Design and develop both backend APIs and frontend interfaces for AI applications.
- Integrate and work with various Speech-to-Text (STT) and Text-to-Speech (TTS) platforms.
- Integrate and work with different LLMs and AI models .
- Develop conversational AI workflows and intelligent voice interactions.
- Perform R&D and proof-of-concepts with different AI/voice technologies.
- Evaluate different STT, TTS, LLM and AI platforms based on:
- Voice quality
- Response accuracy
- Latency
- Reliability
- Scalability
- Pricing and overall cost
- Identify the most appropriate tools and technologies for each use case.
- Optimize AI applications to reduce API and infrastructure costs while maintaining quality.
- Develop integrations with third-party services and APIs.
- Troubleshoot and improve voice quality, response time, AI accuracy, and application performance.
- Participate in the complete development lifecycle from requirement analysis and architecture to development, testing, deployment, and maintenance . Required Technical Knowledge AI & Voice AI
- Good understanding of Large Language Models (LLMs) and their APIs.
- Hands-on knowledge of Speech-to-Text (STT) technologies.
- Hands-on knowledge of Text-to-Speech (TTS) technologies.
- Understanding of conversational AI and AI agent architecture.
- Experience integrating AI APIs and third-party AI services.
- Understanding of prompt engineering and LLM-based application development.
- Knowledge of LangChain or similar AI orchestration frameworks. Backend Development
- Strong knowledge of Python .
- Experience developing REST APIs and backend services.
- Understanding of asynchronous programming and API integrations.
- Knowledge of database design and MySQL . Frontend Development
- Good knowledge of React.js .
- Ability to develop user interfaces for AI/voice applications.
- Experience integrating frontend applications with backend APIs. Preferred Experience
- Previous experience developing a Voice AI, AI Agent, Conversational AI, Voicebot, or similar application .
- Experience working with multiple STT/TTS providers and LLM providers.
- Experience with real-time voice communication or streaming audio.
- Experience with WebSockets or real-time communication.
- Experience with cloud platforms such as AWS is an advantage.
- Understanding of AI application deployment, monitoring, and optimization. Vibe Coding / AI-Assisted Development
- Strong understanding and practical experience with Vibe Coding / AI-assisted software development .
- The frontend and backend of the application will be developed primarily using Vibe Coding approaches and AI coding tools .
- Ability to effectively use AI coding assistants to generate, refactor, debug, test, and optimize production-quality code .
- Should be comfortable reviewing and validating AI-generated code and ensuring it follows proper architecture, security, performance, and coding standards .
- Ability to provide effective prompts and technical context to AI coding tools to accelerate development while maintaining code quality.
- Candidate should be able to independently develop complete features using AI-assisted development , rather than relying solely on traditional manual coding. Key Skills Mandatory:
- Python
- React.js
- MySQL
- LLMs
- STT
- TTS
- LangChain
- REST APIs •
AI API
integration Good to Have:
- Voice AI / Conversational AI
- Real-time audio/voice streaming
- WebSockets
- AWS
- Prompt Engineering
- Experience with multiple AI providers
- AI cost optimization