Advanced Gen AI Development Lead

5 days ago

Bellary, Karnataka, India beBeeTechnical Full time ₹ 1,80,00,000 - ₹ 2,20,00,000
Job Description

About Our Organisation

We are a world leader in insurance with operations in 54 countries and territories.

Our team of over 2500 talented professionals fosters a startup mindset that promotes collaboration, diverse perspectives, and a solution-driven attitude.

Our Vision

We aim to shape the future through innovation and continuous learning.

Key Responsibilities

  • Lead the design, development, and deployment of LLM models and Gen AI applications.
  • Possess a strong foundational knowledge in traditional machine learning and deep neural networks.
  • Leverage Azure AI services, including Cognitive search, Azure Machine Learning and Azure OpenAI, to build and deploy AI/Gen AI applications.
  • Demonstrate strong proficiency in Python and have experience with machine learning/LLM/Gen AI libraries and frameworks such as TensorFlow, PyTorch, Keras, Langchain and NLP tools like SpaCy, NLTK.
  • Have hands-on experience with LlamaIndex, LangChain, or equivalent frameworks.
  • Carry a rich experience in designing, developing, and deploying advanced RetrievalAugmented Generation (RAG) based Gen AI solutions.
  • Possess a strong understanding of LLMs, vector databases (like Chroma, Pinecone, Azure Cognitive Search), and embedding techniques.
  • Evaluate and implement different embedding models (Azure OpenAI, Cohere, etc.) and chunking strategies (fixed size, overlap-based etc.).
  • Design and implement agentic AI systems that can autonomously perform tasks, make decisions, and interact with other systems or users effectively.
  • Have experience in applying advanced fine-tuning methods such as Low-Rank Adaptation (LoRA), Quantized LoRA (QLoRA), and Pattern-Exploiting Training (PET) to optimize open-source models for specific tasks.
  • Familiarity with CI/CD pipelines and tools such as Jenkins, Github Actions or similar.
  • Collaborate with data engineers to ensure efficient data collection, preprocessing, and management for AI applications.
  • Provide technical leadership and mentorship to a team of developers, ensuring best practices in Gen AI development.

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