Solution Architect/Lead Developer - AI & ML

Tekskills Inc.; Chennai; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Tekskills Inc. is seeking a skilled AI/Chatbot Developer to lead the design and implementation of conversational AI solutions in Chennai. You will evaluate tools and platforms, build chatbots using NLP, ML, and generative models, and ensure scalable, maintainable bot journeys.

You will oversee API integrations with external systems such as CRM and apply advanced NLU techniques to enhance user intent understanding and personalization.

Qualifications

• Experience in designing and implementing conversational AI solutions.
• Strong knowledge of NLP, ML, LLMs, and Generative AI.
• Ability to establish best practices for scalable bot development.

Responsibilities

• Lead evaluation and selection of tools, frameworks for conversational AI solutions.
• Design and implement conversational AI leveraging NLP, ML, LLMs, and Generative AI.
• Define and enforce guidelines for scalable bot development and performance.
• Oversee API integrations to connect chatbots with external systems like CRM.
• Use NLU to improve user intent understanding and context for personalized responses.
• Leverage generative AI models to deliver contextually relevant chatbot responses.

Skills

Tool evaluation

Conversational AI

NLP

API integration

Generative AI

LLMs

NLU

Tools

APIs integration

CRM integration

OpenAI GPT

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