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Artificial Intelligence Developer - Large Language Models

Artificial Intelligence Developer - Large Language Models

Brisk Win IT PVT Ltd.Bangalore
30+ days ago
Job description

About the Role :

We are looking for a passionate and skilled AI / ML Engineer with strong experience in Python, TensorFlow, PyTorch, and Neural Networks, particularly in the area of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). As part of our AI Innovation team, you will play a critical role in building and deploying advanced AI solutions that power intelligent applications and Responsibilities :

  • Design, develop, and fine-tune Large Language Models (LLMs) using open-source or proprietary architectures (e.g., GPT, BERT, LLaMA, Mistral).
  • Implement Retrieval-Augmented Generation (RAG) pipelines to enhance LLM capabilities with context-aware and real-time data retrieval.
  • Build, train, and optimize deep learning models using TensorFlow and PyTorch for a variety of NLP and generative tasks.
  • Develop robust, scalable, and production-ready AI solutions that can integrate into existing software ecosystems.
  • Conduct experiments, A / B testing, and performance evaluations on model variants.
  • Collaborate with data scientists, product managers, and software engineers to translate business

requirements into AI / ML use cases.

  • Stay up to date with the latest research and developments in the field of generative AI and machine learning.
  • Document technical specifications, model performance metrics, and deployment Skills & Experience :
  • Strong proficiency in Python and associated data science libraries (NumPy, pandas, scikit-learn, etc.).
  • Hands-on experience in TensorFlow and PyTorch for developing and deploying neural network models.
  • Practical understanding of Neural Networks architectures such as CNNs, RNNs, Transformers, Attention mechanisms, etc.
  • Experience working with Large Language Models (LLMs) open-source or commercial (e.g., OpenAI, HuggingFace, Cohere, etc.).
  • Proven track record implementing RAG pipelines using vector databases (e.g., FAISS, Pinecone, Weaviate) and embedding models.
  • Experience working with cloud platforms (e.g., AWS, Azure, GCP) for model training and deployment.
  • Understanding of ML Ops principles, including version control, reproducibility, and monitoring.
  • Ability to write clean, modular, and well-documented code.

    • (ref : hirist.tech)

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    Artificial Intelligence Developer • Bangalore