GenAI Field Engineer - Production Apps & Impact

GenAI Field Engineer - Production Apps & Impact

Full-Time 72000 - 88000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Deliver cutting-edge GenAI solutions and own production rollouts of innovative apps.
  • Company: Join Databricks, a leader in AI technology with a collaborative spirit.
  • Benefits: Competitive salary, travel opportunities, and hands-on experience with top-tier tech.
  • Other info: Exciting travel opportunities every 4-8 weeks to enhance your career.
  • Why this job: Shape the future of AI while working on impactful projects in a dynamic environment.
  • Qualifications: Experience in data science and cloud deployment; passion for AI is a must.

The predicted salary is between 72000 - 88000 £ per year.

Databricks is seeking an AI Engineer - FDE (Forward Deployed Engineer) in London to deliver top-tier Gen AI solutions for customers.

You will own production rollouts of Gen AI apps and serve as a trusted technical advisor across multiple domains, collaborating with product and engineering to shape the roadmap.

You will bring hands-on data science experience (Pandas, scikit-learn, Py Torch) and deploy Gen AI on cloud platforms. Willingness to travel every 4-8 weeks is expected.

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GenAI Field Engineer - Production Apps & Impact employer: Cacheflow

At Databricks, we are dedicated to solving the world's toughest problems through innovative data and AI solutions, making us an exceptional employer for those passionate about technology and its impact on industries like Utilities. Our collaborative work culture fosters creativity and growth, offering employees ample opportunities for professional development while working alongside top-tier clients and partners. With a commitment to diversity and comprehensive benefits, Databricks provides a rewarding environment where you can thrive and make a meaningful difference.

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Contact Details:

Cacheflow Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land GenAI Field Engineer - Production Apps & Impact

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 Cacheflow 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 Cacheflow.

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 Cacheflow.

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 Cacheflow 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 GenAI Field Engineer - Production Apps & Impact

Python
Communication Skills
SQL
Problem-Solving Skills
Data Pipeline Development
Data Governance
Data Engineering

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 Cacheflow.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Cacheflow 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 Cacheflow

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 Cacheflow 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.