GenAI Field Deployment Engineer — Production AI Solutions

re-zoo-me; Singapore; Hybrid; SGD 180,000 - 240,000; Full time

Job summary

Google Cloud seeks a GenAI Forward Deployed Engineer to embed with customer accounts, bridging frontier AI products with production-ready solutions. You will code, debug, and ship bespoke agentic workflows directly within the client environment, tackling integration and data readiness challenges to reach enterprise-grade maturity.

As part of the Go-To-Market AI team, you will collaborate with DeepMind engineers, leverage Vertex AI and Gemini models, and contribute to a feedback loop shaping

Qualifications

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
• 1 year of experience with software development using Python or similar coding languages.
• Experience architecting AI systems on cloud platforms (e.g., GCP).
• Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures.
• Experience taking production-grade AI-driven solutions from conception to launch for customers.
• Ability to communicate in Korean and English fluently.

Responsibilities

• Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows.
• Architect and code the connective tissue between Google’s AI products and customer’s live infrastructure.
• Build high-performance evaluation pipelines and observability frameworks for accuracy, safety, and latency.
• Identify repeatable field patterns and friction points to convert into reusable modules or feature requests.
• Co-build with customer engineering teams to promote Google-grade development practices.

Skills

Python

GCP cloud

AI architecture

Data pipelines

Production AI

English & Korean

Education

Bachelor's degree

Master’s or PhD (preferred)

Tools

LangGraph

CrewAI

ADK

Job description

Google Cloud seeks a GenAI Forward Deployed Engineer to embed with customer accounts, bridging frontier AI products with production-ready solutions. You will code, debug, and ship bespoke agentic workflows directly within the client environment, tackling integration and data readiness challenges to reach enterprise-grade maturity.

As part of the Go-To-Market AI team, you will collaborate with DeepMind engineers, leverage Vertex AI and Gemini models, and contribute to a feedback loop shaping