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Specialized GenAI senior role reduces applicant pool, but Bangalore metro and hybrid work increase competition.
Requires deep Generative AI, LLM, and enterprise integration expertise, limiting cross-industry portability.
Explicit 8+ years, senior ML product requirement, and mandated LLM/production stack increase filtering strictness.
Lead design, development, and deployment of enterprise AI applications using LLMs like Claude and ChatGPT within Azure and Databricks environments.
Own architecture, coding standards, API design, and integration of AI solutions spanning backend (Python frameworks) and frontend (React, Next.js, Angular) systems.
Drive AI model performance evaluation, prompt engineering, secure user authentication, and scalable AI workflows that impact leasing, operations, and property management domains.
Bachelor's degree in Computer Science, Statistics, Mathematics, or equivalent; Master's preferred.
8+ years in software engineering, with 4+ years focused on AI/ML product development.
Proven experience architecting and delivering AI systems at enterprise scale with LLMs and cloud platforms (Azure, Databricks, AWS, or GCP).
Expertise in Python development (FastAPI, Flask, Django), APIs, microservices, AI model evaluation, and enterprise system integrations.
Strong technical leadership with decision-making authority on AI architecture and engineering best practices for enterprise applications.
Experienced in end-to-end AI product lifecycle including prompt engineering, multi-step agent workflows, responsible AI, and compliance integration.
Comfortable working cross-functionally with business and executive stakeholders to translate complex requirements into scalable AI solutions.