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Hot GenAI skillset, metro hybrid role, mid-level seniority and broad skill requirements.
Generative AI skills are transferable across industries though BFSI exposure and enterprise deployment experience matter.
Explicit 6+ years plus mandatory GenAI, LLM, cloud, and vector DB expertise increases filter strictness.
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Design, develop, and deploy scalable Generative AI applications using LLMs, RAG pipelines, and Agentic AI frameworks.
Build and integrate AI solutions via APIs and microservices, managing vector databases and orchestration workflows.
Collaborate with DevOps/MLOps teams for AI model deployment, monitoring, and implement AI guardrails and governance.
6+ years of experience in AI/Generative AI engineering or related roles.
Strong expertise in Python, Generative AI, LLMs, NLP, Transformers, RAG, and vector databases (e.g., Pinecone, FAISS).
Experience with cloud platforms (Azure and/or AWS), REST APIs, containerization (Docker, Kubernetes), and CI/CD pipelines.
Location: Pune, Bengaluru, Hyderabad, or Mumbai (Hybrid work model).
Experienced in building enterprise-scale Generative AI solutions with strong operational deployment skills.
Familiar with AI ecosystems such as LangChain, Agentic AI frameworks, and model orchestration techniques.
Preferably with BFSI domain exposure and understanding of AI security, compliance, governance requirements.