US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Lead the definition and execution of engineering standards and "no-regression" release gates to ensure exceptional response accuracy, safety, and brand alignment.
Build the core logic for multimodal agents that execute complex reasoning to serve various business needs across functions like sales, support, and finance.
Develop automated meta-layers that allow agents to iteratively build, test, and refine other agents, transforming development into a precise engineering artifact.
Embed Gemini and Vertex AI intelligence directly into enterprise infrastructure and collaborate with partner teams like Google DeepMind to shape foundational agent frameworks.
Use data-driven analysis and evaluation pipelines to continuously improve model performance, optimize prompts, and reduce hallucinations.
Minimum qualifications
Bachelor's degree or equivalent practical experience.
8 years of experience in software development.
5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
5 years of experience leading ML design and optimizing end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
2 years of experience with GenAI techniques (e.g., LLMs, multi-modal, large vision models) or with GenAI-related concepts (e.g., language modeling, computer vision).
2 years of experience in building Generative AI applications, Agentic workflows and GenAI quality evaluation.
Preferred qualifications
Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
8 years of experience with data structures and algorithms.
3 years of experience in a technical leadership role leading project teams and setting technical direction.
3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
Bachelor's degree or equivalent practical experience.
8 years of experience in software development.
5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
5 years of experience leading ML design and optimizing end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
2 years of experience with GenAI techniques (e.g., LLMs, multi-modal, large vision models) or with GenAI-related concepts (e.g., language modeling, computer vision).
2 years of experience in building Generative AI applications, Agentic workflows and GenAI quality evaluation.
