AI Productivity Engineer — Full-Stack & LLMs in Caerphilly
AI Productivity Engineer — Full-Stack & LLMs

AI Productivity Engineer — Full-Stack & LLMs in Caerphilly

Caerphilly Full-Time 50000 - 70000 £ / year (est.) No home office possible
IBM

At a Glance

  • Tasks: Build AI tools and applications to supercharge our sales team.
  • Company: Global tech company based in Markham, UK, with a focus on innovation.
  • Benefits: Career growth opportunities, competitive salary, and a dynamic work environment.
  • Other info: Exciting chance to work with cutting-edge technology and large language models.
  • Why this job: Join us to create impactful AI solutions and shape the future of productivity.
  • Qualifications: Experience in software development, especially with Ruby on Rails, Python, and Java.

The predicted salary is between 50000 - 70000 £ per year.

A global technology company based in Markham, UK, seeks a full stack developer to join their AI Productivity Engineering team. The role entails building AI tools, dashboards, and applications to enhance the sales organization.

Candidates should possess software development experience, particularly with Ruby on Rails, Python, and Java. Preferred qualifications include familiarity with cloud platforms and experience with Large Language Models.

This position offers opportunities for career growth and development.

AI Productivity Engineer — Full-Stack & LLMs in Caerphilly employer: IBM

Join a forward-thinking global technology company in Markham, UK, where innovation meets collaboration. As an AI Productivity Engineer, you'll be part of a dynamic team dedicated to developing cutting-edge AI tools that empower our sales organisation. We pride ourselves on fostering a supportive work culture that prioritises employee growth, offering ample opportunities for professional development and a chance to make a meaningful impact in the tech industry.
IBM

Contact Detail:

IBM Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI Productivity Engineer — Full-Stack & LLMs in Caerphilly

Tip Number 1

Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. It’s all about making connections that can help us get our foot in the door.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving Ruby on Rails, Python, and LLMs. This gives us a chance to demonstrate what we can bring to the table.

Tip Number 3

Prepare for the interview by brushing up on common technical questions and coding challenges. We want to be ready to impress with our knowledge of full-stack development and AI tools.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure our application gets seen by the right people. Plus, it shows we’re genuinely interested in joining the team.

We think you need these skills to ace AI Productivity Engineer — Full-Stack & LLMs in Caerphilly

Full Stack Development
Ruby on Rails
Python
Java
Cloud Platforms
Large Language Models
Software Development Experience
AI Tools Development
Dashboard Development
Application Development

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with Ruby on Rails, Python, and Java. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re excited about the AI Productivity Engineer role and how your background makes you a perfect fit for our team.

Showcase Your Projects: If you've worked on any AI tools or applications, make sure to mention them! We love seeing real examples of your work, especially if they involve Large Language Models or cloud platforms.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!

How to prepare for a job interview at IBM

Know Your Tech Stack

Make sure you brush up on your Ruby on Rails, Python, and Java skills. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.

Showcase Your AI Knowledge

Since the role involves working with Large Language Models, it’s crucial to demonstrate your understanding of AI concepts. Prepare to talk about any relevant experience you have with AI tools or applications, and be ready to discuss how they can enhance productivity.

Familiarity with Cloud Platforms

If you have experience with cloud platforms, make sure to highlight it! Discuss how you've utilised these platforms in past projects, and be prepared to explain how they can be leveraged in building AI tools and dashboards.

Ask Insightful Questions

Interviews are a two-way street, so come prepared with questions that show your interest in the company and the role. Ask about the team dynamics, the types of projects you'll be working on, and opportunities for career growth within the company.

AI Productivity Engineer — Full-Stack & LLMs in Caerphilly
IBM
Location: Caerphilly

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