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Chief Generative AI Architect

3 weeks ago

Vadodara, Gujarat, India beBeeArtificialIntelligence Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
AI/ML Engineer – Generative AI

The role involves building scalable solutions using Python, large language models (LLMs), and retrieval pipelines to solve complex business problems and enhance product capabilities.

This includes designing, developing, and deploying scalable ML solutions using LLMs and RAG architecture. Additionally, the engineer will implement and optimize prompt engineering, embeddings, vector databases, and retrieval mechanisms. Furthermore, they will develop APIs and services to integrate AI solutions into production systems.

Key Responsibilities:
  • Design, develop, and deploy scalable ML solutions using LLMs and RAG architecture.
  • Implement and optimize prompt engineering, embeddings, vector databases, and retrieval mechanisms.
  • Develop APIs and services to integrate AI solutions into production systems.
  • Collaborate with data engineers, product managers, and other stakeholders to define technical requirements.
  • Continuously evaluate and improve model performance and accuracy.
  • Stay updated with the latest research and developments in GenAI, NLP, and ML.
Required Skills & Qualifications:
  • Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field.
  • Strong programming skills in Python, including use of libraries like TensorFlow, PyTorch, Hugging Face Transformers, LangChain, etc.
  • Experience with LLMs (GPT, LLaMA, Claude, etc.) and RAG frameworks.
  • Hands-on experience with vector databases (e.g., FAISS, Pinecone, Weaviate).
  • Solid understanding of NLP, embeddings, tokenization, and attention mechanisms.
  • Familiarity with APIs, RESTful services, and cloud deployment (AWS/GCP/Azure).
  • Strong foundation in data structures, algorithms, and ML workflows.