- Minimum 4+ years of hands-on experience in AI development, preferably in environments focused on voice, chat, or conversational AI.

- Proven experience in deploying AI systems that enhance day-to-day business operations or enterprise workflows.

- Strong understanding of LLMs (Large Language Models), NLP, and Voice Recognition systems.

- Familiarity with AI tools and platforms like OpenAI, Azure AI, Hugging Face, Dialogflow, Rasa, or similar frameworks.

Roles and Responsibilities :

- Design, develop, and deploy intelligent chatbots and voice assistants using AI, ML, NLP, and speech recognition technologies.

- Collaborate with cross-functional teams to integrate conversational AI into existing business systems and workflows.

- Develop and maintain high-quality, efficient, and scalable codebases for AI-powered chatbot systems.

- Continuously improve conversational models through feedback loops, data analysis, and model fine-tuning.

- Troubleshoot and resolve issues related to chatbot functionality, latency, accuracy, and performance.

- Research and apply the latest trends in AI, generative models, and voice interaction technologies.

- Build custom AI solutions to enhance business processes and automate routine operations.

Desired Candidate Profile :

- 510 years of experience in AI/ML/NLP/Voice Recognition and chatbot development.

- Strong knowledge of Python, TensorFlow, PyTorch, or similar ML frameworks.

- Experience with API integrations, microservices, and cloud-based AI platforms (AWS, GCP, Azure).

- Excellent problem-solving, analytical, and communication skills.

- Prior experience working on AI copilots, virtual assistants, or enterprise automation tools is a strong plus