At a Glance
- Tasks: Build AI-driven solutions and optimise complex agentic workloads for top customers.
- Company: Join Google Cloud, a leader in digital transformation and innovative technology.
- Benefits: Competitive salary, bonuses, equity, and comprehensive benefits package.
- Other info: Opportunity for travel and excellent career growth in a diverse workplace.
- Why this job: Make a real impact with cutting-edge AI technology in a dynamic environment.
- Qualifications: Bachelor’s degree and 6 years of software development experience, especially in Python.
The predicted salary is between 72000 - 88000 £ per year.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
London, UK; Madrid, Spain
Minimum qualifications
- Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- 6 years of experience with software development using Python or similar coding languages.
- Experience taking production-grade AI-driven solutions from conception to launch and architecting AI systems on cloud platforms (e. g., GCP).
- Experience developing AI/Gen AI solutions utilizing AI tools, or designing multi-agent workflows or RAG systems.
- Experience developing and deploying multilingual natural language processing models.
Preferred qualifications
- Experience connecting agents to enterprise knowledge bases and optimizing RAG chunking to prevent hallucinations.
- Experience in debugging Agent logic (Re Act loops, Chain of Thought) and optimizing tool selection.
- Experience with troubleshooting live, high-traffic systems during critical windows.
- Ability to trace conversation IDs across microservices to identify and resolve failures in real-time.
About the job
Google Cloud accelerates every organization’s ability to digitally transform its business and industry.
We deliver enterprise-grade solutions that leverage Google’s cutting‑edge technology, and tools that help developers build more sustainably.
Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Spain: €90000 - €92000 (EUR) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Build high-performance evaluation (Eval) pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency.
- Own the delivery of the Customer User Journeys (CUJs), ensuring that conversational flows are not just functional, but optimized and production ready for (top customer/industry priorities).
- Architect and optimize complex agentic workloads, focusing on reasoning loops, tool selection, and reducing latency while maintaining production‑grade security and networking.
- Implement critical infrastructure including rate limiting, error managing, and regional failover strategies; develop monitor systems and alerting dashboards during "Go-Live" windows to ensure stability as traffic scales.
- Travel up to 50% of the time.
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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Applied AI Engineer in London employer: WeAreTechWomen
Goldman Sachs is an exceptional employer, offering a dynamic work environment in London that fosters innovation and collaboration among over 2,000 engineers. With a strong commitment to diversity and inclusion, employees benefit from extensive training and development opportunities, competitive wellness programs, and a culture that values personal and professional growth. The role of Software Engineer - Vice President not only provides the chance to lead transformative projects but also to work closely with traders and senior leadership, making a significant impact on the firm's strategic goals.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI Engineer in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at WeAreTechWomen or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to WeAreTechWomen.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like WeAreTechWomen.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like WeAreTechWomen that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Applied AI Engineer in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at WeAreTechWomen.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at WeAreTechWomen and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at WeAreTechWomen
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If WeAreTechWomen uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
