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Senior, specialized GenAI role in Bangalore with moderate employer brand yields medium candidate competition.
Strong GenAI/LLM specialization and agent architecture experience limits cross-industry fit.
Explicit 8–18 years and mandatory advanced LLM/GenAI expertise make shortlisting highly strict.
Design and build multi-agent AI architecture with model selection and versioning for scalable integration in Client AI Studio.
Develop and own prompt engineering across agents while iterating based on real output quality and define AI service layer API contracts.
Implement AI guardrails including validation and compliance constraints, and establish evaluation/testing frameworks for AI agent quality.
8 to 18 years of experience in AI engineering or related field.
Production experience building LLM-powered features with real-world prompt design, structured inputs/outputs, and failure handling.
Experience working with multiple models/providers, making cost, latency, and quality tradeoffs with clear justification.
Ability to work with separate front-end, back-end, testing teams owning the AI specialist role; not a full-stack position.
Expertise in multi-agent AI architectures and AI solution design involving prompt engineering and model selection across various LLMs (GPT, Claude, Gemini, etc.).
Experience working directly with non-technical stakeholders such as content, compliance, and product owners to translate feedback into concrete AI design decisions.
Familiarity with compliance-sensitive environments and implementing AI guardrails and retrieval-augmented generation (RAG) patterns.