19 annunci per il ruolo di stack developer (recruiting in corso)

Forward Deployed Engineer III, Generative AI (French, German)
Google —Zurigo, ZH
- 100%
- Microsoft Excel
- Dottorato
- Master
7 giorni
Senior / Staff Documentation Engineer (AI & Docs Tooling)
TetraScience —Basilea, BS
- 100%
- Remoto
- Master
- Bachelor
- JavaScript
Candidatura rapida
14 giorni
Lead Forward Deployed Engineer
Salesforce —Zurigo, ZH
- 100%
- Salesforce
- Java
- JavaScript
2 giorni
Senior Forward Deployed Engineer
Salesforce —Zurigo, ZH
- 100%
- Salesforce
- Java
- JavaScript
2 giorni
Engineering Manager, Guard Foundations (Zürich)
Lakera —Zurigo, ZH
- 100%
- Parzialmente remoto
Senior Compiler Engineer
Synthara AG —Zurigo, ZH
- C++
- Python
M0 Labs - Sr. Product Manager, Stablecoins
deCircle —Zurigo, ZH
- 100%
- Remoto
- Capacità di scrittura
- Bachelor
- Capacità di comunicazione
Candidatura rapida
Forward Deployed Engineer I, Google Cloud Consulting (French, German)
Google —Zurigo, ZH
- 100%
- Microsoft Excel
- Dottorato
- Master
13 giorni
Principal Software Engineer - Mobile SDK Tooling & On‑Device Computer Vision (iOS/Android)
Sicpa —Prilly, VD
- Gestionale
- Inglese
- Java
Senior/Staff Smart Contract Engineer
Symbiotic —Zurigo, ZH
- 100%
- Remoto
- C++
- JavaScript
- Python
7 giorni
Lead Engineer (AI-First) (m/w/d) 100%
smino AG —Zurigo, ZH
- 100%
- Gestionale
- Inglese
- SQL
Candidatura rapida
8 giorni
Partner Forward Deployed Engineer, Google Cloud (French, German)
Google —Zurigo, ZH
- 100%
- Microsoft Excel
- Dottorato
- Master
5 giorni
Senior Partner Forward Deployed Engineer, Google Cloud (French, German)
Google —Zurigo, ZH
- 100%
- Dottorato
- Master
- Bachelor
5 giorni
DevOps-Platform-Engineer (80 – 100%)
CISTEC AG —Zurigo, ZH
- 100%
- Remoto
- Inglese
- Lavoro da casa
Professional Applikations-Entwickler:in 80 - 100%
Fincons Group —Berna, BE
- Parzialmente remoto
Candidatura rapida
9 giorni
Java Spring Boot Engineer (w/m/d)
PostFinance —Zofingen, AG
- CHF 100’000 - CHF 120’000 all'anno
- 100%
- Remoto
- Java
- Sviluppo software
- Pendlerbeitrag
- Lavoro da casa
4 ore
Full-Stack Developer (Electron + AI)
caeros —Svizzera
- 100%
- Remoto
- Microsoft Outlook
- Master
- JavaScript
Staff Design Engineer, EU
Ashby —Svizzera
- CHF 141’000 - CHF 226’000 all'anno
- 100%
- Remoto
- Congedo parentale
Senior Full-stack Engineer
Mobilunity —Svizzera
- Remoto
- Inglese
- Database
- SQL
10 ore

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Senior / Staff Documentation Engineer (AI & Docs Tooling)
TetraScience —Basilea, BS
Own the documentation style guide, hold the review-and-publish gate, and keep the team runbook current so the function is not dependent on any one person.
Candidatura rapida
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Forward Deployed Engineer III, Generative AI (French, German)

Google -
Zurigo, ZH

Candidati adesso

Dettagli della posizione

100% | Orario di lavoro: 90-100%
7 giorni fa

Qualifiche

Francese
Microsoft Excel
Dottorato
MCP
Master
Bachelor
Sviluppo software
Leadership
Tedesco
Debugging

Descrizione completa della posizione

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
Experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
Ability to communicate in French or German fluently to support client relationship management in this region.

Preferred qualifications:

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

About the job

Google Cloud’s mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. In this role, you aren’t just building technology; you’re shaping the frontier of enterprise and driving the evolution of advanced models.

Leading with the future, the AI GTM team are trusted AI advisors, scaling across Google to deliver transformative customer experiences that shape the next generation of their business. Partnering to provide deep AI expertise, thought leadership, and industry best practices, we revolutionize customer outcomes.

It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours.

Responsibilities

Serve as the lead 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 Return on investment (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.
Build high-performance evaluation (Eval) pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.
Identify repeatable field patterns and technical "friction points" in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.
Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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