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Tier-1 brand, mid-level GenAI role in Bangalore attracts many qualified applicants.
Requires specialized GenAI, LLM, and RAG expertise, so cross-industry transferability is limited.
Explicit 4–8 years plus mandatory LLM, PyTorch/Transformers, and RAG/vector DB skills.
Design and implement generative AI applications using large language models and multimodal models, including prompt engineering, fine-tuning, and optimization.
Build and deploy AI pipelines for text, image, audio, and video generation and integrate AI models with existing systems using APIs.
Conduct experiments to evaluate and improve model performance using advanced techniques like RLHF, embeddings, and retrieval-augmented generation while ensuring ethical AI compliance and data privacy.
4-8 years of relevant experience in data science or AI development.
Bachelor of Technology (B.Tech) degree is mandatory.
Strong hands-on experience with Python and frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers.
Familiarity with LLM APIs, vector databases (e.g., FAISS, Pinecone), and RAG frameworks (e.g., LangChain, LlamaIndex).
Experienced in developing and deploying generative AI solutions involving state-of-the-art LLMs and multimodal architectures.
Comfortable working with AI pipelines combining multiple data modalities (text, images, audio, video) and integrating via API ecosystems.
Capable of performing model evaluation and iterative improvement using cutting-edge techniques such as RLHF and retrieval-augmented generation, with adherence to ethical and governance standards.