Added
1 hour ago
Type
Full time
Salary
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Related skills

python tensorflow rag langchain generative ai

๐Ÿ“‹ Description

  • Architect and build scalable Generative AI and agentic AI applications from concept and prototyping
  • Design sophisticated LLM-powered workflows, prompt strategies, reflexive systems, self-learning
  • Develop intelligent AI agents using LangChain, LangGraph, or comparable agentic frameworks for
  • Evaluate, select, customize, fine-tune, and optimize state-of-the-art LLMs for specific business
  • Design, implement, and own end-to-end ML/GenAI pipelines, including training, deployment
  • Build robust APIs, microservices, and integration frameworks that connect AI capabilities with

๐ŸŽฏ Requirements

  • 6+ years of experience in traditional Machine Learning, including at least 2+ years of hands-on
  • Strong practical knowledge of LLMs, prompt engineering, Generative AI, and agentic AI systems.
  • Hands-on experience with LangChain and LangGraph, or comparable agentic AI frameworks.
  • Strong Python development skills, including API wrappers, third-party integrations, automation, and
  • Solid understanding of Transformers, CNNs, and RNNs, with hands-on experience using TensorFlow
  • Experience with NLP, embedding models, vector databases, and Retrieval-Augmented Generation (RAG).

๐ŸŽ Benefits

  • Full-time remote position based in India.
  • Annual compensation range of โ‚น25,00,000โ€“โ‚น45,00,000, depending on experience and qualifications.
  • Opportunity to work on next-generation Generative AI and agentic AI products.
  • Exposure to advanced LLMs, multi-agent architectures, RAG, AI automation, and cloud-native
  • Customer-facing responsibilities providing opportunities to influence real-world enterprise AI
  • High degree of ownership and autonomy within a fast-moving technology environment.
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