GenAI Forward-Deployed Engineer

Google Inc.

Singapore

On-site

SGD 240,000 - 360,000

Full time

14 days+
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Job summary

Google Inc. is seeking a GenAI Forward Deployed Engineer (FDE) to bridge frontier AI products with production-grade reality at customer sites.

The role involves hands-on coding, debugging, and shipping bespoke agentic solutions within customer environments, from discovery through rollout and hardening. You will embed with the customer's engineers and leaders, addressing integration, data readiness, and state-management challenges to enable enterprise-grade AI maturity.

Qualifications

  • Experience in cloud computing or technical customer-facing roles.
  • Experience deploying, scaling, and debugging LLM/agent-based systems in production.
  • Experience with end-to-end technical ownership with executive stakeholders.

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.
  • Design and deploy production-grade agentic developer workflows on Google's AI stack.
  • Embed with customer's staff to identify SDLC bottlenecks and define success metrics.
  • Integrate Google’s agentic systems into the customer's ISV and tools leveraging MCP and A2A protocols.

Skills

Cloud computing
LLM/agent systems
End-to-end ownership

Education

Bachelor’s degree in Engineering/CS or related field
Master’s or PhD in AI/CS (preferred)

Tools

LangGraph
CrewAI
ADK (Agent Development Kit)

Job description

Google Inc. is seeking a GenAI Forward Deployed Engineer (FDE) to bridge frontier AI products with production-grade reality at customer sites.

The role involves hands-on coding, debugging, and shipping bespoke agentic solutions within customer environments, from discovery through rollout and hardening. You will embed with the customer's engineers and leaders, addressing integration, data readiness, and state-management challenges to enable enterprise-grade AI maturity.

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