At a Glance
- Tasks: Lead the development of complex AI applications and build high-performance evaluation pipelines.
- Company: Join Google, a leader in innovative technology and AI solutions.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on diversity and equal opportunity.
- Why this job: Make a real impact in the AI field while working with cutting-edge technologies.
- Qualifications: Bachelor's degree, software development experience, and fluency in French and German.
The predicted salary is between 70000 - 90000 £ 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.
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) employer: WeAreTechWomen
At Google, we pride ourselves on fostering a dynamic and inclusive work environment that champions innovation and collaboration. As a Forward Deployed Engineer III in Generative AI, you will have the opportunity to work at the forefront of technology while enjoying comprehensive benefits, professional development programmes, and a culture that values diversity and creativity. Our location offers a vibrant community with access to cutting-edge resources, ensuring that you can thrive both personally and professionally.
StudySmarter Expert Advice🤫
We think this is how you could land Forward Deployed Engineer III, Generative AI (French, German)
✨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 WeAreTechWomen. 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 WeAreTechWomen.
✨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 WeAreTechWomen, 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)
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 WeAreTechWomen. 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 WeAreTechWomen.
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 WeAreTechWomen
✨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 WeAreTechWomen!
