pIn most instances, this position requires in-person interviews as part of the hiring process. /p pNote: By applying to this position you will have an opportunity to share your preferred working location from the following: bZürich, Switzerland; London, UK /b. /p h3Minimum qualifications /h3 ul liBachelor’s degree or equivalent practical experience. /li li2 years of experience with software development in one or more programming languages (e.g., Python or C++). /li li2 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision). /li li1 year of experience with AI/ML infrastructure (e.g., model deployment, model evaluation, model optimization, data processing, or debugging). /li liExperience developing and deploying multilingual natural language processing models. /li /ul h3Preferred qualifications /h3 ul liMaster's degree or PhD in Computer Science, AI, Machine Learning, or a related technical field. /li liExpertise in debugging Agent logic (ReAct loops, Chain of Thought) and optimizing tool selection. /li liExperience 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. /li liExperience connecting agents to enterprise knowledge bases and optimizing RAG chunking to prevent hallucinations. /li /ul h3About the job /h3 pGoogle'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. /p pAs a Forward Deployed Engineer (FDE) in Applied AI, you are the "Agent Engineer" and the primary delivery arm for our customers' most critical AI initiatives. You will take initial conversational prototypes and transform them into production-ready solutions, owning the end-to-end engineering life-cycle. /p pThe Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. Our portfolio includes Gemini Enterprise for Customer Experience (Shopping Agent, CX Agent Studio, Agent Assist, Vertex AI Search - Commerce, Customer Experience Insights), along with other vertical and domain packaged solutions. We enable high adoption and speed to value by building solutions that are quickly deployed, delivering new 0-to-1 capabilities with startup agility. Team members operate at the forefront of AI, collaborating directly with model builders with unprecedented speed. Join us to work on cutting-edge projects and shape the future of AI in a fast-paced, collaborative, and impactful environment. /p h3Responsibilities /h3 ul liServe as the delivery lead for conversational AI pilots, taking initial proof-of-value code and refactoring it for production by replacing stubs with secure, real-world integrations. /li liOwn the delivery of the initial Customer User Journeys (CUJs), ensuring that conversational flows are not just functional, but optimized for (top customer/industry priorities). /li liArchitect and optimize complex agentic workloads, focusing on reasoning loops, tool selection, and reducing latency while maintaining production-grade security and networking. /li liImplement critical infrastructure, including rate limiting, error management, and regional failover strategies; develop monitoring systems and alerting dashboards during "Go-Live" windows to ensure stability as traffic scales. /li liArchitect security perimeters (VPC, IAM, CMEK) to satisfy CISO requirements and optimize RAG strategies to balance latency, accuracy, and cost. /li /ul pGoogle 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. /p #J-18808-Ljbffr
Forward Deployed Engineer III, Applied AI Arbeitgeber: Google
Google ist ein hervorragender Arbeitgeber, der seinen Mitarbeitern die Möglichkeit bietet, in einem dynamischen und innovativen Umfeld zu arbeiten. Mit einem starken Fokus auf persönliche und berufliche Weiterentwicklung, einer offenen Unternehmenskultur und attraktiven Zusatzleistungen, wie einem großzügigen Bonusprogramm und Aktienoptionen, fördert Google das Wachstum seiner Mitarbeiter. Die Standorte in Deutschland, wie Hamburg, Berlin, Frankfurt und München, bieten nicht nur eine lebendige Arbeitsatmosphäre, sondern auch Zugang zu einem breiten Netzwerk von Branchenführern und kreativen Köpfen.
