Hiring For Generative AI Expert Job Code CHDGAIE- Chandigarh-COGNITER TECHNOLOGIES-3-4 - TimesJ[...]

COGNITER TECHNOLOGIES; Punjab; On-site; INR 6,75,000 - 9,00,000; Full time

Job summary

A tech company in Chandigarh is seeking a Generative AI Expert to lead the development of LLM-based chatbots and AI agents. Candidates should have expertise in LangChain, Retrieval-Augmented Generation, and Vector Databases, with strong proficiency in Python and Node.js. The role focuses on designing scalable AI solutions and optimizing large language models. If you're passionate about advanced AI systems, we want to hear from you!

Qualifications

• Proven experience in developing LLM-based chatbots and AI agents.
• Expertise in LangChain, RAG, and VectorDB technologies.
• Strong proficiency in Python and Node.js for AI/ML development.

Responsibilities

• Lead the design, development, and optimization of LLM-based chatbots and AI agents.
• Implement LangChain to build scalable AI-driven applications.
• Utilize Groq for AI inference and acceleration.

Skills

LangChain

Retrieval-Augmented Generation (RAG)

Vector Databases (VectorDB)

Python

Node.js

Tools

Groq

AI frameworks

Job description

Hiring for Generative AI Expert (Job Code: CHDGAIE)

Job Code: CHDGAIE
Location: Chandigarh, India
Position Type: Full-Time

Job Description

We are seeking an experienced Generative AI Expert to lead the development and optimization of Large Language Model (LLM)-based chatbots and AI agents. The ideal candidate should have deep expertise in LangChain, Retrieval-Augmented Generation (RAG), Vector Databases (VectorDB), and Groq. Proficiency in Python and Node.js is essential. Additionally, experience in fine-tuning LLMs and working with machine learning frameworks will be a significant advantage.

Job Overview

We are seeking an experienced Generative AI Expert to lead the development and optimization of Large Language Model (LLM)-based chatbots and AI agents. The ideal candidate should have deep expertise in LangChain, Retrieval-Augmented Generation (RAG), Vector Databases (VectorDB), and Groq. Proficiency in Python and Node.js is essential. Additionally, experience in fine-tuning LLMs and working with machine learning frameworks will be a significant advantage.

Key Responsibilities

• Design & Development: Lead the design, development, and optimization of LLM-based chatbots and AI agents.
• LangChain Implementation: Implement LangChain to build scalable and efficient AI-driven applications.
• RAG Pipeline Integration: Develop and integrate Retrieval-Augmented Generation (RAG) pipelines to enhance knowledge retrieval for chatbots.
• VectorDB Usage: Leverage VectorDB to enable efficient similarity search and retrieval of relevant data.
• AI Inference with Groq: Utilize Groq for AI inference and acceleration, ensuring optimal performance and scalability.
• LLM Fine-Tuning: Fine-tune and optimize large language models (LLMs) like GPT-4, LLama, Mistral, or Falcon to meet specific business use cases.
• Cross-Functional Collaboration: Work closely with product managers, data scientists, and engineers to integrate AI models into applications.
• Scalability & Performance: Ensure AI solutions are scalable, secure, and performant in real-world environments.
• Continuous Learning: Stay abreast of advancements in AI, NLP, and machine learning to incorporate the latest technologies.

Required Skills & Qualifications

• Proven experience in developing LLM-based chatbots and AI agents.
• Expertise in LangChain, RAG, and VectorDB technologies.
• Hands-on experience with Groq and AI acceleration techniques.
• Strong proficiency in Python and Node.js for AI/ML development.
• Experience with fine-tuning LLMs like LLama, GPT-4, Mistral, or Falcon.
• Solid understanding of machine learning, deep learning, and Natural Language Processing (NLP) techniques.

Preferred Qualifications

• Experience with OpenAI, Hugging Face, and Anthropic APIs.
• Knowledge of prompt engineering and reinforcement learning from human feedback (RLHF).
• Prior experience in developing multimodal AI solutions (e.g., text, image, video, speech models).

If you are passionate about building advanced AI systems and want to work at the cutting edge of generative AI technologies, we would love to hear from you!