GenAI Field Engineer: Production AI in Enterprise

Google

Singapore

On-site

SGD 180,000 - 260,000

Full time

2 days ago

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Job summary

Google Cloud is hiring a GenAI Forward Deployed Engineer in Singapore to bridge frontier AI products with production-grade deployments within customer environments. You will code, debug, and ship bespoke agentic solutions, addressing data readiness, state-management, and integration challenges for enterprise readiness.

You will embed with strategic accounts, providing white-glove deployments and feeding real-world feedback into Google Cloud’s roadmap.

Qualifications

Bachelor's degree in Engineering, Computer Science, or related field, or equivalent practical experience.
2 years of experience with software development using Python or similar languages.
Experience architecting AI systems on cloud platforms (GCP).
Experience building pipelines for structured and unstructured data using 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 (e.g., multi-agent systems, MCP servers) that drive measurable ROI.
Architect and code the connective tissue between Google's AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.
Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.
Identify repeatable field patterns and friction points in Google's AI stack, converting them into reusable modules or formal product feature requests for engineering teams.
Be able to co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.