Staff Applied AI Agent Engineer, Google Cloud Platform

Staff Applied AI Agent Engineer, Google Cloud Platform

Full-Time 80000 - 100000 € / year (est.) No home office possible
Gravity Engineering Services Pvt Ltd.

At a Glance

  • Tasks: Build and optimise cutting-edge conversational AI agents that make a difference.
  • Company: Join Google Cloud Platform, a leader in innovative technology.
  • Benefits: Enjoy competitive salary, flexible work options, and opportunities for growth.
  • Other info: Dynamic team environment with endless learning opportunities.
  • Why this job: Be at the forefront of AI technology and shape the future of communication.
  • Qualifications: 5+ years in AI, machine learning, and strong problem-solving skills.

The predicted salary is between 80000 - 100000 € per year.

Department: Engineering

Job Type / Location: London

Experience Required: 5+ years

Posted On: May 18, 2026

Tasks

  • Build conversational AI agents
  • Create documentation and accelerators
  • Debug and optimize AI solutions
  • Deploy AI agents
  • Design and implement ML solutions
  • Develop reusable tools
  • Establish best practices
  • Guide model optimization
  • Optimize ML infrastructure
  • Process and debug data
  • Write custom tooling

Skills/Tech-stack

  • Artificial Intelligence
  • Data Processing
  • Data Structures
  • Data debugging
  • Data structures algorithms
  • Distributed Computing
  • Fine Tuning
  • Generative AI
  • Language Processing
  • ML Infrastructure
  • Machine Learning
  • Model Deployment
  • Model Evaluation
  • Natural Language
  • Natural Language Processing
  • Reinforcement Learning
  • Speech Recognition

Education

  • Bachelor of Science
  • Master of Science
  • PhD

Roles

  • AI/Agent Engineer
  • Agent Engineer
  • Applied AI Agent Engineer
  • Engineer
  • Learning Engineer
  • Machine Learning Engineer

Regions

  • Europe

Countries

  • United Kingdom

States

  • England

Cities

  • London

Staff Applied AI Agent Engineer, Google Cloud Platform employer: Gravity Engineering Services Pvt Ltd.

As a Staff Applied AI Agent Engineer at Google Cloud Platform in London, you will be part of a dynamic and innovative team that thrives on pushing the boundaries of artificial intelligence. The company fosters a collaborative work culture that encourages creativity and continuous learning, offering ample opportunities for professional growth and development. With access to cutting-edge technology and a commitment to employee well-being, Google Cloud Platform stands out as an exceptional employer for those seeking meaningful and impactful work in the heart of one of the world's most vibrant cities.

Gravity Engineering Services Pvt Ltd.

Contact Detail:

Gravity Engineering Services Pvt Ltd. Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Staff Applied AI Agent Engineer, Google Cloud Platform

Tip Number 1

Network like a pro! Reach out to folks in the AI and ML space on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects related to conversational AI and ML solutions. We recommend using GitHub to share your code and documentation – it’s a great way to demonstrate your expertise to potential employers.

Tip Number 3

Prepare for those interviews! Brush up on common AI and ML interview questions, and don’t forget to practice coding challenges. We suggest doing mock interviews with friends or using platforms that offer practice sessions.

Tip Number 4

Apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications this way!

We think you need these skills to ace Staff Applied AI Agent Engineer, Google Cloud Platform

Conversational AI
Documentation Creation
AI Solution Debugging
AI Agent Deployment
Machine Learning Solutions Design
Reusable Tool Development
Best Practices Establishment

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Staff Applied AI Agent Engineer role. Highlight your experience with AI, ML, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality come through.

Showcase Your Projects:If you've built any conversational AI agents or worked on ML solutions, make sure to showcase these in your application. We’re keen to see real examples of your work, so don’t hold back on sharing your achievements!

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you’re genuinely interested in joining our team at StudySmarter!

How to prepare for a job interview at Gravity Engineering Services Pvt Ltd.

Know Your AI Stuff

Make sure you brush up on your knowledge of artificial intelligence and machine learning concepts. Be ready to discuss your experience with conversational AI agents, model deployment, and any relevant projects you've worked on. This will show that you're not just familiar with the tech stack but can also apply it effectively.

Showcase Your Problem-Solving Skills

Prepare to talk about specific challenges you've faced in debugging and optimising AI solutions. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help you demonstrate your analytical thinking and how you approach complex problems.

Bring Examples of Your Work

Have a portfolio or examples of your previous work ready to share. Whether it's documentation, accelerators, or custom tooling you've developed, being able to showcase tangible results will make a strong impression. It’s all about proving you can deliver!

Ask Insightful Questions

At the end of the interview, don’t forget to ask questions! Inquire about the team’s current projects, best practices they follow, or how they optimise their ML infrastructure. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.