Chief AI Architect

1 week ago

Ahmedabad, Gujarat, India beBeeArtificialintelligence Full time ₹ 1,80,00,000 - ₹ 2,40,00,000
Senior AI Engineer Role

We are seeking an experienced Senior AI Engineer specializing in Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to develop and optimize AI-driven applications. The ideal candidate will have hands-on experience in deploying, fine-tuning, and integrating LLMs with RAG architectures to enhance the efficiency and accuracy of AI-powered solutions.

Key Responsibilities:

  • Design, develop, and optimize AI solutions using LLMs (e.g., GPT-4, LLaMA, Falcon) and RAG frameworks.
  • Implement and fine-tune models to improve response relevance and contextual accuracy.
  • Develop pipelines for data retrieval, indexing, and augmentation to improve knowledge grounding.
  • Work with vector databases (e.g., Pinecone, FAISS, Weaviate) to enhance retrieval capabilities.
  • Integrate AI models with enterprise applications and APIs.
  • Optimize model inference for performance and scalability.
  • Collaborate with data scientists, ML engineers, and software developers to align AI models with business objectives.
  • Ensure ethical AI implementation, addressing bias, explainability, and data security.
  • Stay updated with the latest advancements in generative AI, deep learning, and RAG techniques.

Requirements:

  • At least 8 years of experience in software development according to industry standards.
  • Strong experience in training and deploying LLMs using frameworks like Hugging Face Transformers, OpenAI API, or LangChain.
  • Proficiency in Retrieval-Augmented Generation (RAG) techniques and vector search methodologies.
  • Hands-on experience with vector databases such as FAISS, Pinecone, ChromaDB, or Weaviate.
  • Solid understanding of NLP, deep learning, and transformer architectures.
  • Proficiency in Python and ML libraries (TensorFlow, PyTorch, LangChain, etc.).
  • Experience with cloud platforms (AWS, GCP, Azure) and MLOps workflows.
  • Familiarity with containerization (Docker, Kubernetes) for scalable AI deployments.
  • Strong problem-solving and debugging skills.
  • Excellent communication and teamwork abilities.
  • Bachelor's or Master's degree in computer science, AI, Machine Learning, or a related field.

About this role

This is an exciting opportunity to join our team as a Senior AI Engineer and contribute to the development of cutting-edge AI solutions. If you have a strong background in AI and machine learning, we encourage you to apply.

What we offer

We provide a collaborative and dynamic work environment that fosters growth and innovation. Our team is passionate about leveraging AI to drive business value and make a meaningful impact.

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