Solution Architect/Lead Developer - AI & ML

Tekskills Inc.; Delhi; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Tekskills Inc. in Delhi is seeking an AI/Chatbot Development specialist to lead the design and implementation of conversational AI solutions leveraging AI, ML, NLP, and Generative AI. You will define standards and best practices to ensure scalable, high-performance bot development.

The role involves integrating chatbots with external systems via APIs, applying NLU to understand user intent, and delivering contextually relevant responses using GPT-based models.

Responsibilities

• Lead evaluation and selection of tools, frameworks, and platforms for conversational AI.
• Design and implement conversational AI solutions that incorporate AI, ML, Generative AI, LLMs, and NLP.
• Define and enforce best practices, standards, and guidelines for Conversational AI bot development to ensure scalability, performance, and maintainability
• Oversee the integration of APIs to connect chatbots with external systems (e.g., CRM systems) for enhanced functionality within bot journeys.
• Utilize NLU techniques to enhance the chatbot's ability to comprehend user intent and context, enabling personalized responses that improve user satisfaction.
• Leverage generative AI models (e.g., OpenAI's GPT) to create adaptive chatbots capable of delivering contextually relevant responses based on user interactions. This includes

Job description

Job Summary

AI , Chatbot Development

Responsibilities-

• Lead the evaluation and selection of appropriate tools, frameworks, and platforms for developing conversational AI solutions.
• Design and implement conversational AI solutions that incorporate advanced technologies such as AI, ML, Generative AI, LLMs, and NLP.
• Define and enforce best practices, standards, and guidelines for Conversational AI bot development to ensure scalability, performance, and maintainability
• Oversee the integration of APIs to connect chatbots with external systems (e.g., CRM systems) for enhanced functionality within bot journeys.
• Utilize NLU techniques to enhance the chatbot's ability to comprehend user intent and context, enabling personalized responses that improve user satisfaction.
• Leverage generative AI models (e.g., OpenAI's GPT) to create adaptive chatbots capable of delivering contextually relevant responses based on user interactions. This includes