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Metro Hyderabad location and mid-level AI title increase applicants, but specialized GenAI/GCP skills moderate competition.
Role requires GenAI and GCP-specific expertise, making cross-industry fit constrained and domain-sensitive.
Explicit 2-4 years, mandatory GenAI project delivery, and specific GCP/Vertex/Langchain tech requirements raise strictness.
Design, build, and deploy production-grade Agentic AI solutions using Google ADK, LangGraph/Langchain, Agent Engine, and Vertex AI on GCP.
Integrate AI agents into enterprise applications and workflows to enable automation and improved decision-making.
Drive GenAI adoption by collaborating with cross-functional teams, conducting POCs, and aligning AI solutions with enterprise architecture.
2 to 4 years of Software Engineering experience, including 2+ years in GenAI and Agentic AI development.
Delivered at least one end-to-end GenAI or Agentic AI project.
Strong proficiency with Google ADK, LangGraph/Langchain, Agent Engine, Vertex AI, and GCP services including Cloud Run, ECS, Vertex AI Search Engine, IAM, and networking.
Programming skills in Python, Java, or similar languages.
Experienced in deploying scalable, secure AI services on GCP achieving business automation and decision-support outcomes.
Capable of collaborating effectively with data scientists, architects, and product teams to align AI solutions with technology strategy.
Demonstrated ability to mentor junior engineers and establish reusable AI solution patterns and best practices within an enterprise context.