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Tier-1 employer and metro hiring raise competition, specialization and seniority moderate applicant density.
Requires deep ML/LLM and distributed systems expertise, limiting cross-industry transferability.
Explicit seniority, strong ML/LLM specialization, and production experience make shortlisting highly selective.
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Lead design and implementation of Agentic/skills initiatives within Enterprise Knowledge Platform and Gemini Enterprise for Google.
Develop, test, deploy, and maintain AI/ML based software solutions with a focus on agentic experiences and large language models.
Provide technical guidance and collaborate across Core Data, Cloud, and GDM teams to deliver production-ready systems.
Bachelor's degree in Computer Science or related technical field, or equivalent practical experience.
Minimum 8 years of software development experience in languages like Python, C, C++, Java, or JavaScript.
At least 5 years of experience in testing and launching software products.
Expertise in machine learning, preferably with experience in LLMs, reinforcement learning, or natural language processing.
Strong technical leadership with the ability to mentor junior engineers and influence technical decisions across large-scale AI/ML projects.
Experience working within globally distributed teams and collaborating across multiple technical organizations.
Demonstrated ability to build and launch AI model-based products and work on core foundational technologies impacting multiple Google products.