10 hours ago
Singapore, SingaporeEntry Level
Responsibilities
- Develop complex AI applications and transition 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 for agentic systems, measuring accuracy, safety, and latency.
- Identify recurring field patterns and convert them into reusable modules or product feature requests for engineering teams.
- Co-build with customer engineering teams and establish development practices that support long-term adoption and project success.
Requirements
- Bachelor’s degree in engineering, computer science, 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 GCP.
- 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 launch for customers.
- Fluent Korean and English communication skills for business interactions.
- Preferred: master’s or PhD in AI, computer science, or a related technical field.
- Preferred: experience implementing multi-agent systems with LangGraph, CrewAI, ADK, 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
- Embedded, customer-facing work within Google Cloud’s Go-To-Market organization.
- Access to Google Cloud’s AI portfolio, including Gemini models and the Vertex AI platform.
- Direct collaboration with DeepMind engineering and research teams.
- The role requires fluent Korean and English communication and customer-environment deployment work.
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.