20 meilleures offres (lead full stack) (à pourvoir)

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- 100%
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il y a 13 jours
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- 100%
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- De 50 000 CHF à 77 000 CHF par an
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emploi.epfl.ch —Lausanne, VD
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- 100%
- Niveau Master
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Auterion —Zürich, ZH
- Niveau Master
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Software Engineer III, AI/ML Shopping Creator, YouTube
YouTube —Zürich, ZH
- 100%
- Niveau Master
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Neuron AG —Brugg, AG
- Contrôleur programmable
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- 100%
- Bar
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- 100%
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il y a 13 jours
Senior Reinforcement Learning Engineer
ANYbotics —Zürich, ZH
- Heures supplémentaires
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Network Reliability Engineer
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- De 50 000 CHF à 77 000 CHF par an
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Postuler rapidement
Senior Robot Platform Software Engineer (Zürich, 100%)
Loki Robotics —Zürich, ZH
- 100%
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AI Engineer / Consultant
Artifact —Zürich, ZH
- 100%
- Anglais
- Niveau Master
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Staff Software Engineer, Merchant Shopping, Local Inventory
Google —Zürich, ZH
- 100%
- Niveau Doctorat
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- Niveau Master
Senior Specialist - Group CAPEX
On AG —Zürich, ZH
- Microsoft Excel
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Forward Deployed Engineer - Robotics
Flexion Robotics —Zürich, ZH
- 100%
- Niveau Master
- C++
- Réseaux informatiques
- Caisse de pension
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Conversion Optimization Manager (w/m/d) 80-100%
bexio ag —Rapperswil-Jona, SG
- JavaScript
- HTML
- Congé parental payé
Postuler rapidement
Production Engineer
DeepJudge —Zürich, ZH
- 100%
- Java
- Technologies de l'information
- Linux

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Forward Deployed Engineer III, Google Cloud GTM (French, German)

Google -
Zürich, ZH

Soumettre votre candidature

Détails de l'emploi

100% | Temps de travail : 90-100%
Il y a 13 jours

Avantages

Logement

Qualifications

Français
Niveau Doctorat
MCP
Niveau Master
Niveau Licence
Développement logiciel
Leadership
Allemand
Debugging

Description complète du poste

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 "Large Language Model (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's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

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 will leverage 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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lead full stack emplois

Forward Deployed Engineer III, Google Cloud GTM (French, German)

Staff/Senior Desktop Application Engineer

Network Reliability Engineer

Operational Director - Integrated Computing Platform (ICP)

Principal Software Engineer - Mobile SDK Tooling & On‑Device Computer Vision (iOS/Android)

Senior Mechanical Engineer – Quadcopter Systems

Senior Software Engineer (Radio Systems)

Software Engineer III, AI/ML Shopping Creator, YouTube

Senior Hardware Design Engineer

Power Electronics Engineer - Senior

Cloud Security Team Lead

Senior Reinforcement Learning Engineer

Network Reliability Engineer

Senior Robot Platform Software Engineer (Zürich, 100%)

AI Engineer / Consultant

Staff Software Engineer, Merchant Shopping, Local Inventory

Senior Specialist - Group CAPEX

Forward Deployed Engineer - Robotics

Conversion Optimization Manager (w/m/d) 80-100%

Production Engineer

Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : lead full stack

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