At a Glance
- Tasks: Lead the development of innovative AI applications and transform prototypes into production-ready solutions.
- Company: Join Google Cloud, a leader in AI technology and innovation.
- Benefits: Competitive salary, access to cutting-edge AI tools, and opportunities for professional growth.
- Other info: Collaborative culture with direct access to top engineering minds at DeepMind.
- Why this job: Shape the future of AI while driving real impact for businesses worldwide.
- Qualifications: Experience in software development and ML infrastructure; fluency in French and German is a must.
The predicted salary is between 60000 - 80000 £ per year.
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 and German fluently to support client relationship management in this region.
Preferred qualifications:
- Master’s or PhD in AI, Computer Science, or a related technical field.
- Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, or Google’s 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 go-to-market (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.
- 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.
Forward Deployed Engineer III, Generative AI (French, German) in London employer: Google
At Google Cloud, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through access to cutting-edge AI technologies and direct collaboration with DeepMind's experts, empowering you to tackle complex challenges and drive transformative customer experiences. Join us in shaping the future of AI while enjoying the benefits of a supportive environment that values your contributions and encourages professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Forward Deployed Engineer III, Generative AI (French, German) in London
✨Get Your Code Out There!
Start building your presence in the developer community by contributing to open-source projects. This not only sharpens your skills but also showcases your work to potential employers like Google. Sharing your projects on platforms like GitHub can really help you stand out!
✨Join Tech Meetups and Hackathons
Dive into local tech meetups and hackathons where you can network with other developers and potentially catch the eye of recruiters. These events are goldmines for connecting with companies looking for fresh talent, including seasonal opportunities at Google.
✨Show Off Your Projects
Build a personal website or portfolio that highlights your projects and coding skills. This can act as your digital business card! When you're applying for internships or roles in software engineering like the one at Google, your website can give recruiters a quick way to see what you can do.
✨Make Use of University Resources
Don’t forget about your university's career services! They often have great connections in the tech industry and can help you find internship opportunities specifically geared towards students in software engineering. Use these resources to your advantage, and keep an eye on their job boards or networking events!
We think you need these skills to ace Forward Deployed Engineer III, Generative AI (French, German) in London
Some tips for your application 🫡
Showcase Your Projects:As you're aiming for a gig in software engineering, it’s super important to highlight any projects you’ve worked on. We love seeing personal or academic projects that showcase your coding skills, so feel free to include links to your GitHub or any relevant side projects in your CV.
Tailor That CV:Make sure your CV isn’t just a generic template. Focus on the programming languages and technologies relevant to the role at Google. If you’ve got experience with languages or frameworks listed in the job description, definitely emphasise that—it shows you’re already a good fit!
Passion Over Perfection:In your cover letter, let us know why you’re excited about this opportunity. As a bachelor candidate, we’re not expecting you to have decades of experience, but we do want to see your enthusiasm for learning and growing as a developer at Google.
Proof of Skills:When applying for a software development role, including relevant coursework or certifications can give you an edge. If you’ve taken any online courses or have relevant certifications, make them easily visible in your application to show that you’re proactive about building your skill set!
How to prepare for a job interview at Google
✨Brush Up on Your Coding Skills
For a software engineering internship, you can expect to go through some technical assessments. Make sure you're comfortable with coding challenges, algorithms, and data structures on platforms like LeetCode or HackerRank. Practise common coding questions, and try to write clean, efficient code — that’s what we’re looking for!
✨Show Off Your Projects
Since you're aiming for a bachelor's software engineering role, don’t forget to showcase your portfolio! Highlight personal or academic projects on GitHub, and be ready to discuss your thought process, challenges faced, and how you overcame them. It’s all about demonstrating your practical experience and problem-solving skills.
✨Be Ready for System Design Questions
Even at the internship level, interviewers might probe your understanding of system design. Brush up on how to structure a web application, handle databases, and scale services. They might ask you to design a simple system on the spot, so get ready to explain your reasoning and choices!
✨Demonstrate Your Enthusiasm for Learning
As an intern, they want to see your passion for software development and your eagerness to learn. Be ready to discuss what technologies you’re excited about, any online courses you’ve taken, or coding meetups you’ve attended. Show them that you’re not just interested in the role; you want to grow and make an impact at Google!
