Remote AI Platform Engineer β€” Production-Grade LLM Systems

Remote AI Platform Engineer β€” Production-Grade LLM Systems

Full-Time 95000 - 130000 Β£ / year (est.) Working from home possible
Harnham

At a Glance

  • Tasks: Shape AI foundations and develop reliable AI systems for a modern SaaS platform.
  • Company: Harnham, a forward-thinking company in the AI space.
  • Benefits: Competitive salary, stock options, and fully remote work.
  • Other info: Fully remote role with opportunities for growth in a dynamic environment.
  • Why this job: Join a cutting-edge team and make a real impact in AI technology.
  • Qualifications: Experience in building AI features and understanding of cloud infrastructure, preferably AWS.

The predicted salary is between 95000 - 130000 Β£ per year.

Harnham is seeking a product-minded engineer to shape the AI foundations of their modern SaaS platform. This fully remote role in the UK offers a salary range of Β£95,000 to Β£130,000 plus stock options.

The engineer will take ownership of AI and platform capabilities, designing workflows and developing reliable AI systems.

Successful candidates will have experience building AI features for production environments and a solid understanding of cloud infrastructure, ideally AWS.

Remote AI Platform Engineer β€” Production-Grade LLM Systems employer: Harnham

Harnham is an exceptional employer that champions innovation and collaboration within a fully remote work environment. With competitive salaries, stock options, and a strong focus on employee growth, Harnham empowers its engineers to take ownership of their projects while fostering a culture of creativity and support. Join a team where your contributions directly shape the future of AI technology in a dynamic SaaS landscape.

Harnham

Contact Details:

Harnham Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Remote AI Platform Engineer β€” Production-Grade LLM Systems

✨Tip Number 1

Network like a pro! Reach out to folks in the AI and SaaS space on LinkedIn or relevant forums. A friendly chat can open doors that a CV just can't.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your AI projects, especially those involving production-grade systems. This is your chance to shine and demonstrate what you can bring to the table.

✨Tip Number 3

Prepare for the interview like it’s a big game! Research the company, understand their products, and be ready to discuss how your experience with cloud infrastructure, especially AWS, can help them level up their platform.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!

We think you need these skills to ace Remote AI Platform Engineer β€” Production-Grade LLM Systems

AI Systems Development
Cloud Infrastructure
AWS
SaaS Platform Design
Workflow Design
Production Environment Experience
Product Mindset

Some tips for your application 🫑

Show Your Passion for AI:When writing your application, let us see your enthusiasm for AI and how it drives you. Share specific examples of projects or experiences that highlight your passion and expertise in building AI features for production environments.

Tailor Your CV to the Role:Make sure your CV is tailored to the Remote AI Platform Engineer position. Highlight relevant experience with cloud infrastructure, especially AWS, and any specific projects that demonstrate your ability to design workflows and develop reliable AI systems.

Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you're the perfect fit for this role. Be sure to connect your skills and experiences directly to the job description, showing us how you can shape the AI foundations of our SaaS platform.

Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!

How to prepare for a job interview at Harnham

✨Know Your AI Stuff

Make sure you brush up on your knowledge of AI systems, especially those used in production environments. Be ready to discuss your previous projects and how you've tackled challenges in building reliable AI features.

✨Cloud Infrastructure is Key

Since the role involves cloud infrastructure, particularly AWS, ensure you understand its services and how they relate to AI. Prepare to explain how you've used cloud solutions in past projects to enhance AI capabilities.

✨Show Your Product Mindset

Harnham is looking for someone who thinks like a product engineer. Be prepared to discuss how you approach designing workflows and developing features that not only work but also add value to users.

✨Ask Insightful Questions

Interviews are a two-way street! Prepare thoughtful questions about Harnham's AI strategy and platform goals. This shows your genuine interest in the role and helps you assess if it's the right fit for you.