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Tier-1 employer, metro Hyderabad, and mid-level AI role create high candidate competition.
Core LLM engineering skills are transferable, but healthcare governance and Responsible AI increase domain specificity.
Explicit 3+ years plus mandatory LLM/agent, production, and governance skills make shortlisting highly strict.
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Design and implement automation and Agentic AI systems for data governance and stewardship, including orchestration logic and AI capabilities for data access management.
Develop, deploy, and maintain production-grade AI agents that execute multi-step workflows, integrate with enterprise systems, and comply with policies and governance rules.
Engineer Responsible AI guardrails, ensure compliance with data governance and regulatory requirements, and support scaling successful AI agents from team to company-wide platforms.
Bachelor’s degree in Computer Science, Software Engineering, Data Science, or equivalent experience.
3+ years developing LLM-powered or AI-driven applications, including orchestration, prompt engineering, and tool integration.
Proficiency in programming languages such as Python, TypeScript, or Java; experience with APIs, microservices, and cloud architectures.
Work Experience Required: 3+ years in AI-driven application development involving automation and orchestration.
Experienced software engineer with hands-on delivery of production AI/automation systems within enterprise data governance environments.
Capable of designing and operationalizing scalable AI agents integrated with data platforms and governance tools adhering to compliance and Responsible AI principles.
Familiar with modern AI frameworks (e.g., LangChain), cloud deployment, and cross-functional collaboration to deploy and expand AI agent solutions globally.