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Tier-1 brand, metro location, mid-level GenAI role, and broad LLM/agent skillset drive high competition.
Core GenAI and LLM skills are transferable, but agentic AI and Google ADK requirements add moderate specificity.
Explicit minimum years plus mandatory GenAI, Python, LLM, and Google ADK skills create high shortlisting strictness.
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Design, develop, and deploy generative AI models and autonomous agentic AI systems leveraging multi-agent architectures.
Integrate, fine-tune, and optimize large language models (LLMs) in production environments ensuring performance, scalability, and ethical alignment.
Lead complex GenAI projects involving Python development, advanced GenAI frameworks (Langchain, Langraph, Langsmith), Google Agent Development Kit (ADK), and mentor junior developers.
Bachelor's or Master's degree in Computer Science, AI, Machine Learning, Data Science, or related quantitative field.
Minimum 4 years of hands-on experience in generative AI development focusing on agentic AI systems.
Advanced proficiency in Python programming with practical experience using LLMs and GenAI frameworks like Langchain, Langraph, Langsmith.
Experience with Google Agent Development Kit (ADK), cloud platforms (preferably GCP), and familiarity with deep learning frameworks (TensorFlow, PyTorch).
Experienced in architecting and deploying multi-agent AI systems within dynamic environments with measurable operational impact.
Proven ability to lead GenAI projects and mentor teams, indicating seniority and strategic technical leadership.
Strong background in integrating and customizing production-grade LLMs and GenAI tooling in cloud ecosystems, aligning with Google Cloud platform standards.