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Generative AI Engineer

MEEDEN LABS PRIVATE LIMITED

Bangalore, Chennai, Hyderabad, Pune • 2 months ago

Experience: 5 to 9 Yrs

vacancy: 8

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Job Description

Job Title: Generative AI Engineer / LLM Engineer

Experience: 5-9 Years
Location: Chennai / Bangalore / Pune / Hyderabad
Employment Type: Full-Time
Interview Mode: Virtual


Role Overview

We are seeking a highly skilled Generative AI Engineer with strong expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and modern AI frameworks. The ideal candidate will have hands-on experience in designing, fine-tuning, deploying, and optimizing AI models using industry-leading frameworks and tools.

This role demands deep technical knowledge in LLM integration, scalable AI architecture, and real-world implementation of GenAI solutions.


Key Responsibilities

  • Design, develop, and deploy Generative AI solutions using Large Language Models (LLMs).

  • Build and optimize RAG (Retrieval-Augmented Generation) pipelines.

  • Integrate and fine-tune models such as GPT (OpenAI), LLaMA, BERT, and Gemini.

  • Develop AI solutions using TensorFlow and PyTorch frameworks.

  • Implement model experimentation, validation, and performance optimization.

  • Work on vector database integrations for semantic search and contextual retrieval.

  • Collaborate with cross-functional teams to deliver scalable AI-driven applications.

  • Ensure AI model performance, reliability, and production readiness.


Required Skills

  • 5-9 years of experience in Machine Learning / AI Engineering.

  • Strong hands-on experience with:

    • LLM (Large Language Models)

    • RAG Architecture

    • OpenAI / LLaMA / BERT / Gemini

    • TensorFlow or PyTorch

  • Experience in model fine-tuning and deployment.

  • Strong programming skills in Python.

  • Good understanding of NLP concepts and deep learning architectures.

  • Experience building scalable AI applications in production environments.


Preferred Skills

  • Experience with vector databases.

  • Exposure to prompt engineering.

  • Knowledge of model monitoring and performance tuning.

  • Understanding of responsible AI practices.

Posted on: March 2, 2026

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