1 day ago
Singapore, SingaporeEntry Level
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, including APIs, legacy data silos, and security perimeters.
- Build evaluation pipelines and observability frameworks measuring agent accuracy, safety, and latency.
- Identify repeatable customer patterns and friction points, converting them into reusable modules or product feature requests.
- Co-build with customer engineering teams and promote Google-grade development practices and long-term adoption.
- Translate technical concepts for non-technical executives and Thai-speaking audiences.
Requirements
- Bachelor’s degree in Engineering, Computer Science, or a related field, or equivalent practical experience.
- At least 1 year of software development experience using Python or similar coding languages.
- Experience architecting AI systems on cloud platforms such as Google Cloud Platform.
- Experience building structured and unstructured data pipelines using vector databases and Retrieval-Augmented Generation architectures.
- Experience taking production-grade AI solutions from conception through customer launch.
- Fluency in Thai and English for regional client relationship management.
- Preferred: master’s degree or PhD in AI, Computer Science, or a related technical field.
- Preferred: experience implementing multi-agent systems with LangGraph, CrewAI, or Agent Development Kit and patterns such as ReAct, self-reflection, and hierarchical delegation.
- Preferred: experience leading technical discovery sessions and knowledge of LLM-native metrics, state-management optimization, and granular tracing.
Benefits
- The role is part of Google Cloud’s Go-To-Market team and provides access to Google’s AI portfolio, including Gemini models and the Vertex AI platform.
- The position offers collaboration with DeepMind engineering and research teams and direct exposure to customer AI deployments.
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.