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Metro-based mid-level GenAI role with niche agentic/Azure requirements, moderate applicant competition.
Core GenAI, agentic, and cloud skills transfer across industries, though enterprise domain knowledge moderately matters.
Multiple mandatory years plus specific GenAI, Azure, and infra requirements increase shortlisting strictness.
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Design, build, and maintain backend services and APIs for Generative AI and agent-based applications using Python and FastAPI on Microsoft Azure.
Develop and deploy secure, scalable, production-ready AI systems incorporating agent orchestration, evaluation harnesses, and workflow management.
Implement Responsible AI, security, privacy, and governance controls; collaborate with cross-functional teams to embed AI automation in tax, immigration, and back-office processes.
6+ years of software engineering experience, including Python expertise.
2+ years experience in Generative AI, LLM, or agentic application development.
Experience with backend services, FastAPI, Azure cloud-native development, Docker, Kubernetes, and databases like PostgreSQL, Cosmos DB, or SQL Server.
Location requirement: Based in Bangalore, India.
Experienced in designing and deploying agentic AI systems including agent orchestration frameworks and evaluation frameworks.
Proficient in secure and scalable backend architecture for enterprise AI applications, with strong knowledge of Responsible AI and secure AI system design.
Skilled in integrating AI workflows with real-world business processes in global mobility, finance, HR, or similar functional domains.