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Staff Forward Deployed Engineer, Developer AI, Google Cloud

Google· Go-To-Market / Google Cloud AI
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Hybrid (Bengaluru, Karnataka, India), Hybrid (Gurugram, Haryana, India), Hybrid (Mumbai, Maharashtra, India), Hybrid (Singapore)Full-timePosted 4d ago

About the role

Embedded developer for complex AI applications, bridging frontier AI products with production environments for customers. Combines hands-on engineering with field feedback to ship bespoke agentic solutions and improve enterprise-scale AI workflows.

Responsibilities

  • Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, Model Context Protocol (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.
  • Design and deploy production-grade agentic developer workflows on Google Cloud's AI stack, executing large-scale refactors, language migrations, Specification-to-Pull Request pipelines, and automated review/incident-to-fix loops.
  • Embed with customer's staff engineers and leaders to identify core SDLC bottlenecks, such as legacy migrations, test coverage, review latency, or onboarding friction, and define success metrics.
  • Integrate Google’s agentic systems into the customer's existing ISV and tools (e.g., Teamwork Graph, GitLab, ServiceNow, Slack) leveraging MCP and A2A protocols.

Qualifications

  • Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
  • 8 years of experience in cloud computing or a technical customer-facing role.
  • Experience deploying, scaling, and debugging Large Language Model (LLM) or agent-based systems in production environments (including tools, memory, orchestration, evaluation, tracing, and cost/latency profiling).
  • Experience with end-to-end technical ownership of engineering projects with executive stakeholders.

Skills

Required:Developer engineering for AI agentsSystem integration
Last updated Oct 23, 2026. Interested? Apply on the company site.

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