Google

Forward Deployed Engineer III, Google Cloud

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MidOn-site·WarszawaFull-time

#461266·Dodano 24 dni temu·3

Źródło: Google

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Tech Stack / Keywords

Python NLP generative AIMCPMLOpsDevOps LangGraphCrewAIGoogle ADKOAuth

Podsumowanie oferty

Build and ship production-grade agentic AI solutions for Google Cloud customers, moving applications from prototypes into customer environments. In the AI GTM team, integrate Google AI products with customer infrastructure and develop multi-agent workflows, MCP servers, and evaluation pipelines.

Wymagania

Bachelor’s degree or equivalent practical experience.
At least 2 years of experience designing, building, and deploying NLP models and generative AI agents.
Experience implementing DevOps and MLOps pipelines.
Experience building generative AI solutions in a customer-facing role.
Experience with ML infrastructure, including model deployment, evaluation, optimization, data processing, and debugging, and coding in Python.

Nice to have:

Master’s degree or PhD in AI, Computer Science, or a related technical field.
Experience implementing multi-agent systems using frameworks such as LangGraph, CrewAI, or Google’s ADK, and complex patterns such as ReAct, self-reflection, and hierarchical delegation.
Knowledge of LLM-native metrics, including tokens/sec and cost-per-request, and techniques for optimizing state management and granular tracing.
Ability to implement secure agentic workflows using MCP, tool-calling, and OAuth-based authentication.

Obowiązki

Serve as lead developer for complex AI applications, moving rapid prototypes into production-grade agentic workflows, including multi-agent systems and MCP servers.
Architect and code integrations between Google’s AI products and customer infrastructure, including APIs, legacy data silos, and security perimeters.
Build evaluation pipelines and observability frameworks for agentic systems, addressing accuracy, safety, and latency requirements.
Identify recurring field patterns and technical friction points in Google’s AI stack and turn them into reusable modules or product feature requests for engineering teams.
Co-build with customer engineering teams and help them apply Google development practices.

Benefity

Premie

Udziały pracownicze

Inne informacje

In most instances, the hiring process includes in-person interviews.

Google

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