VAPI Developer - Zoho CRM (8-13 yrs)

VAPI AI Agent Developer

Key Responsibilities:

- Develop and deploy AI-powered voice-driven sales agents using Voice API (VAPI) technology and associated conversational AI platforms.

- Build and optimize AI models for use cases such as lead qualification, customer engagement, appointment setting, product information delivery, and handling inquiries.

- Integrate AI Sales Agents with CRM platforms (Salesforce, HubSpot, Zoho CRM) and third-party APIs to ensure seamless data synchronization and workflow.

- Develop connections between VAPI endpoints and internal/external services to optimize data flow and operational effectiveness.

- Leverage NLP frameworks (Dialogflow, Rasa, GPT APIs) to create intelligent and contextually aware dialogue flows.

- Train NLP models on domain-specific datasets to enhance accuracy in language understanding, intent detection, and response generation.

- Implement machine learning techniques and A/B testing protocols to iteratively improve performance and user engagement metrics.

- Design, document, and deploy APIs for seamless interaction between voice interfaces, business logic, and third-party tools.

- Utilize REST, GraphQL, or other relevant APIs to support integrations, data retrieval, and transaction processing.

- Collaborate with UX designers to ensure intuitive and effective user interactions.

- Ensure voice and AI applications adhere to data protection and privacy regulations, such as GDPR, CCPA, or HIPAA.

- Coordinate with stakeholders to define and prioritize features and technical enhancements.

Required Skills & Experience :

- Proficiency in languages such as Python, Java, JavaScript, or C++ for AI development and integration tasks.

- Experience building, managing, or integrating AI voice systems using voice technologies and VAPI

providers (Twilio, Google Voice, Amazon Connect).

- Strong familiarity with NLP frameworks like Dialogflow, Rasa, GPT (OpenAI API), IBM Watson, or other conversational AI engines.

- Proven experience with AWS, Azure, or Google Cloud Platform (GCP) services.

- Familiarity with cloud-based AI deployments, serverless compute, containerization tools like Docker/Kubernetes, and CI/CD pipelines.

- Direct experience integrating AI or voice assistants with CRM tools (Salesforce, HubSpot, Zoho, or custom CRMs) or marketing automation platforms.

- Expertise in building RESTful APIs, GraphQL, or other data exchange mechanisms.

- Experience designing, developing, and testing ML models to optimize performance and user engagement in voice agents.

Preferred Qualifications :

- Bachelors degree in Computer Science, AI, Data Science, or related technical disciplines (or equivalent work experience).

- Advanced certifications in machine learning, AI, NLP, or voice assistant technologies.

- Prior experience in implementing AI solutions for sales enablement, customer service automation, or voice-driven applications.