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Tier-1 brand, Bangalore metro, and mid-level experience band drive high competition despite niche GenAI focus.
GenAI and agentic AI skills are transferable across industries, so medium background sensitivity.
Explicit years requirement plus mandatory GenAI/Agentic experience and tech stack make shortlisting highly strict.
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Architect and implement Generative AI solutions including LLM-based applications for summarization, code generation, and conversational AI.
Design and deploy autonomous AI agents with multi-step reasoning and integrate these along with GenAI into enterprise platforms (CRM, ERP).
Develop scalable AI pipelines on cloud platforms (Azure, AWS, GCP) with MLOps, lead offshore teams, and engage with global clients to define AI use cases and delivery roadmaps.
3+ years in AI/ML engineering with at least 2 years focused on Generative AI and/or Agentic AI.
Proficiency in Python, PyTorch/TensorFlow, and frameworks such as Hugging Face, LangChain, OpenAI APIs.
Hands-on experience with cloud-native AI services like Azure ML, AWS SageMaker, or GCP Vertex AI.
Bachelor's degree in Engineering or MBA with 60% or above marks.
Experienced in designing enterprise-grade AI solutions using Generative AI and autonomous agents with cloud platform expertise.
Skilled in managing global stakeholder relationships and leading offshore delivery teams.
Familiar with vector databases, RAG pipelines, prompt engineering, and MLOps for AI system governance.