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Niche GenAI expertise and seniority reduce applicant density despite Bangalore metro location.
Specialized GenAI skills are transferable across industries but require strong ML experience, so moderate sensitivity.
Explicit 8+ years overall plus mandatory 3+ years AI/ML and specific GenAI tech requirements.
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Lead the design and development of AI/ML solutions, focusing on Generative AI and Large Language Models (LLMs).
Develop and optimize Retrieval-Augmented Generation (RAG) pipelines and chatbot/conversational AI applications.
Implement and manage integrations involving vector databases and orchestration tools for enterprise knowledge-driven solutions.
Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related field.
8+ years of overall IT experience with at least 3+ years hands-on in AI/ML, Generative AI, or LLM-based development.
Strong proficiency in Python; knowledge of Java or similar is a plus.
Experience with LLMs, prompt engineering, RAG pipelines, vector databases (Pinecone, Weaviate, FAISS, Milvus), and AI orchestration frameworks (LangChain, LangGraph, LlamaIndex).
Experienced technology lead with a solid background in implementing enterprise AI solutions using cutting-edge Generative AI technologies.
Hands-on expertise in designing complex RAG solutions and optimizing embeddings for knowledge-based applications.
Comfortable integrating AI components with UI basics (HTML, CSS, React) and managing multi-vector retrieval and advanced contextual AI techniques.