2 days ago
Base Salary
$207k - $300k/yr
Responsibilities
- Develop complex AI applications and transition rapid prototypes into production-grade agentic workflows, including multi-agent systems and MCP servers.
- Architect and code integrations between Google AI products and customer infrastructure, APIs, legacy data silos, and security perimeters.
- Build high-performance evaluation pipelines and observability frameworks for agentic system accuracy, safety, and latency.
- Identify recurring field patterns and product friction, turning them into reusable modules or formal product feature requests.
- Co-build with Customer Engineering teams to establish Google-grade development practices and support long-term adoption.
- Lead technical discovery sessions and embed with customers to deploy bespoke AI solutions and address integration, data readiness, and state-management challenges.
Requirements
- Bachelor’s degree in Engineering, Computer Science, or a related field, or equivalent practical experience.
- At least 8 years of software development experience using Python or similar coding languages.
- Experience building structured and unstructured data pipelines using vector databases and RAG-like architectures for enterprise AI solutions.
- Experience taking production-grade AI-driven solutions from conception to customer launch.
- Experience architecting AI systems on cloud platforms such as Google Cloud Platform.
- Experience leading technical discovery sessions with customers.
- Preferred qualifications include a master’s degree or PhD in AI, Computer Science, or a related technical field.
- Preferred experience includes implementing multi-agent systems with LangGraph, CrewAI, or ADK and using patterns such as ReAct, self-reflection, and hierarchical delegation.
- Knowledge of LLM-native metrics and techniques for optimizing state management and granular tracing is preferred.
Benefits
- US base salary of $207000 - $300000, plus a 20% bonus target, equity, and benefits.
- Access to Google Cloud’s AI portfolio, including Gemini models and the Vertex AI platform.
- Collaboration with DeepMind engineering and research teams.
Tech Stack
Categories
Forward Deployed
About Google
Google builds consumer and enterprise software and services including Search, Android, YouTube, Chrome, Maps, Gmail, and Google Cloud. Its business model centers on digital advertising and paid cloud, software, and hardware offerings (e.g., Pixel and Nest) for consumers, developers, and organizations. Founded in 1998 and headquartered in Mountain View, California, Google operates globally as a subsidiary of Alphabet Inc.