Google

Forward Deployed Engineer III, Generative AI, Google Cloud

Brak informacji o wynagrodzeniu

SeniorOn-site·WarszawaFull-time

#469093·Dodano 7 dni temu·1

Źródło: Google

Aplikuj teraz

Tech Stack / Keywords

PythonGoogle Cloud Platform (GCP)RAGvector databasesVertex AIGeminiLangGraphCrewAIADKModel Context Protocol (MCP)

Podsumowanie oferty

Builds production-grade agentic AI solutions for enterprise customers, taking prototypes through deployment in customer environments. The work includes integrations and data challenges using Google Cloud, Vertex AI, Gemini, Python, and RAG architectures.

Wymagania

Minimum qualifications:

Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
5 years of software development experience using Python or similar coding languages.
Experience taking production-grade AI-driven solutions from conception to launch and architecting AI systems on cloud platforms such as Google Cloud Platform (GCP).
Experience building pipelines for structured and unstructured data using vector databases and RAG-like architectures for enterprise AI solutions.
Experience leading technical discovery sessions.

Preferred:

Master’s or PhD in AI, Computer Science, or a related technical field.
Experience implementing multi-agent systems using frameworks such as LangGraph, CrewAI, or ADK, and patterns such as ReAct, self-reflection, and hierarchical delegation.
Knowledge of LLM-native metrics, such as tokens per second and cost per request, and techniques for optimizing state management and granular tracing.

Obowiązki

Develop complex AI applications, moving from rapid prototypes to production-grade agentic workflows, including multi-agent systems and Model Context Protocol (MCP) servers.
Architect and code integrations between Google Cloud AI products and customer infrastructure, including APIs, legacy data silos, and security perimeters.
Build evaluation pipelines and observability frameworks for agentic systems, covering accuracy, safety, and latency.
Identify recurring field patterns and friction points in Google’s AI stack and turn them into reusable modules or product feature requests.
Co-build with customer engineering teams and establish development best practices.

Benefity

15% bonus target.
Equity.

Premie

Udziały pracownicze

Inne informacje

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

Google

57 aktywnych ofert

Zobacz wszystkie oferty

Aplikuj teraz