AI Engineer (Remote)

AI Engineer (Remote)

Freelance 60000 - 80000 € / year (est.) Home office possible
I

At a Glance

  • Tasks: Build innovative AI systems for enterprise clients using cutting-edge technologies.
  • Company: Dynamic tech company focused on practical AI solutions.
  • Benefits: Competitive pay, flexible remote work, and opportunities for skill development.
  • Other info: Exciting projects with great potential for career advancement.
  • Why this job: Join a hands-on role and make a real impact in the AI field.
  • Qualifications: Experience in AI engineering and strong coding skills required.

The predicted salary is between 60000 - 80000 € per year.

An experienced AI Engineer is required for an Outside IR35 contract. This is a hands-on role building greenfield AI systems for enterprise clients. The successful candidate will design and deploy practical applications using LLMs, RAG, vector databases, and agentic workflows. This is not a research position. The engineer must be able to write production-ready code, integrate with existing systems.

AI Engineer (Remote) employer: IO Associates

Join a forward-thinking company that values innovation and creativity, offering AI Engineers the chance to work on cutting-edge projects from the comfort of their own home. With a strong emphasis on professional development, our collaborative work culture fosters growth and encourages employees to push the boundaries of technology. Enjoy competitive compensation, flexible working hours, and the opportunity to make a significant impact in the rapidly evolving field of AI.

I

Contact Detail:

IO Associates Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Engineer (Remote)

Tip Number 1

Network like a pro! Reach out to fellow AI enthusiasts and professionals on platforms like LinkedIn. Join relevant groups and participate in discussions to get your name out there.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and vector databases. This will give potential employers a taste of what you can do.

Tip Number 3

Prepare for interviews by brushing up on practical applications of AI systems. Be ready to discuss how you've tackled real-world problems with your coding skills and AI knowledge.

Tip Number 4

Don't forget to apply through our website! We make it easy for you to find the right opportunities and connect with us directly. Your next AI Engineer role could be just a click away!

We think you need these skills to ace AI Engineer (Remote)

AI System Design
LLMs (Large Language Models)
RAG (Retrieval-Augmented Generation)
Vector Databases
Agentic Workflows
Production-Ready Code
Integration Skills

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience with AI systems and production-ready code. 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! Use it to explain why you’re passionate about building AI applications and how your background makes you a perfect fit for our team. Keep it engaging and to the point.

Showcase Your Technical Skills:In your application, mention specific technologies you’ve worked with, like LLMs or vector databases. We love seeing concrete examples of how you’ve tackled challenges in previous roles, so don’t hold back!

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’re considered for the role. Plus, it’s super easy!

How to prepare for a job interview at IO Associates

Know Your Tech Inside Out

Make sure you’re well-versed in the technologies mentioned in the job description, like LLMs and vector databases. Brush up on your coding skills and be ready to discuss how you've used these tools in past projects.

Showcase Your Hands-On Experience

Since this role is hands-on, prepare to share specific examples of AI systems you've built or contributed to. Highlight your experience with deploying practical applications and any challenges you overcame during the process.

Understand the Business Context

Research the enterprise clients the company works with and think about how your AI solutions can add value to their operations. Being able to discuss how your work aligns with business goals will set you apart.

Prepare for Practical Coding Challenges

Expect to face coding challenges during the interview. Practice writing production-ready code and be prepared to explain your thought process as you solve problems. This will demonstrate your ability to integrate seamlessly into their existing systems.