Production AI Engineer — LLM Systems & Enterprise

Production AI Engineer — LLM Systems & Enterprise

Full-Time 50000 - 60000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Design and deploy cutting-edge AI systems for Fortune 500 companies.
  • Company: Join Jobr.pro, a leader in AI innovation.
  • Benefits: Competitive salary, equity, and comprehensive benefits package.
  • Other info: Hands-on role with opportunities for professional growth.
  • Why this job: Transform workflows and create impactful AI applications.
  • Qualifications: 3+ years of software engineering experience with Python or TypeScript.

The predicted salary is between 50000 - 60000 £ per year.

Jobr.pro is seeking an AI Engineer to design and deploy production-grade AI systems powered by LLMs. You'll work directly with Fortune 500 companies to transform complex workflows and build real-world AI applications. This role is hands-on and involves defining system architectures and deploying reliable, high-impact AI systems.

Applicants should have 3+ years of software engineering experience with strong Python or TypeScript skills.

Benefits include a competitive salary, equity, and a comprehensive benefits package.

Production AI Engineer — LLM Systems & Enterprise employer: jobr.pro

At Jobr.pro, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in the rapidly evolving field of AI. Our dynamic work culture encourages creativity and offers ample opportunities for professional growth, particularly for those passionate about transforming workflows for Fortune 500 companies. With a competitive salary, equity options, and a comprehensive benefits package, we ensure our employees are well-supported as they contribute to meaningful and impactful projects.

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Contact Details:

jobr.pro Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Production AI Engineer — LLM Systems & Enterprise

Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those working with LLMs. A friendly chat can open doors and give you insights that job descriptions just can't.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving Python or TypeScript. This is your chance to demonstrate your hands-on experience and creativity.

Tip Number 3

Prepare for technical interviews by brushing up on system architecture and deployment strategies. We recommend practicing coding challenges and discussing your thought process out loud to impress your interviewers.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.

We think you need these skills to ace Production AI Engineer — LLM Systems & Enterprise

AI System Design
LLM Systems
Software Engineering
Python
TypeScript
System Architecture
Deployment of AI Systems

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience with AI systems and software engineering. We want to see how your skills in Python or TypeScript can shine through, so don’t hold back on showcasing relevant projects!

Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for the role. Share your passion for AI and how you've tackled complex workflows in the past. Let your personality come through!

Showcase Your Projects:If you've worked on any production-grade AI systems or have relevant side projects, make sure to mention them! We love seeing real-world applications of your skills, especially if they involve LLMs.

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 jobr.pro

Know Your Tech Inside Out

Make sure you brush up on your Python and TypeScript skills. Be ready to discuss specific projects where you've used these languages, especially in the context of AI systems. The more you can demonstrate your hands-on experience, the better!

Understand LLMs and Their Applications

Familiarise yourself with large language models and their real-world applications. Be prepared to talk about how you've implemented or optimised LLMs in previous roles, and think of examples that showcase your ability to transform complex workflows.

Showcase Your Problem-Solving Skills

During the interview, expect to face technical challenges or case studies. Practice articulating your thought process clearly and logically. Companies want to see how you approach problems and come up with innovative solutions, so don’t hold back!

Ask Insightful Questions

Prepare a few thoughtful questions about the company’s current AI projects or their vision for the future. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals. Plus, it makes for a great conversation starter!