Solution Architect/Lead Developer - AI & ML

Tekskills Inc.; Kolkata District; Sur place; INR 1 200 000 - 1 800 000; Plein temps

Résumé du poste

Tekskills Inc. is seeking an AI specialist to lead the evaluation and design of conversational AI solutions, leveraging NLP, ML, Generative AI, and LLMs to deliver advanced chatbots.

You will implement the solutions, define best practices and guidelines, and oversee API integrations with external systems to enrich bot journeys and automate workflows. The role emphasizes scalable, maintainable architectures and context-aware responses.

Qualifications

• Experience with AI, ML, Generative AI, LLMs and NLP.
• Ability to design scalable, maintainable Conversational AI solutions.
• Experience integrating APIs for bot journeys.

Responsabilités

• Lead evaluation and selection of tools, frameworks, and platforms for conversational AI.
• Design and implement conversational AI solutions using AI, ML, Generative AI, LLMs, and NLP.
• Define and enforce best practices, standards, and guidelines for Conversational AI bot development.
• Oversee API integrations to connect chatbots with external systems (e.g., CRM) for enhanced bot journeys.
• Use NLU techniques to improve intent/context understanding and personalize responses.
• Leverage generative AI models to deliver contextually relevant responses based on user interactions.

Description du poste

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