Ai Engineer (Contract)

Ai Engineer (Contract)

Freelance 60000 - 80000 € / year (est.) Home office (partial)
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At a Glance

  • Tasks: Build innovative AI systems for enterprise clients using cutting-edge technologies.
  • Company: Dynamic tech firm focused on practical AI solutions.
  • Benefits: Competitive contract rate, flexible hours, and opportunities for skill enhancement.
  • Other info: Exciting projects with potential for career advancement.
  • Why this job: Join a hands-on role and make a real impact in the AI industry.
  • Qualifications: Experience in AI development 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 (Contract) employer: IO Associates

Join a forward-thinking company that values innovation and creativity, offering AI Engineers the chance to work on cutting-edge projects in a collaborative environment. With a strong emphasis on professional development, employees are encouraged to enhance their skills through training and mentorship, while enjoying a flexible work culture that promotes work-life balance. Located in a vibrant tech hub, this role provides unique opportunities to engage with industry leaders and contribute to impactful AI solutions.

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Contact Detail:

IO Associates Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Ai Engineer (Contract)

Tip Number 1

Network like a pro! Reach out to your connections in the AI field and let them know you're on the lookout for opportunities. Sometimes, a friendly chat can lead to a hidden gem of a job that’s not even advertised.

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 and set you apart from the crowd.

Tip Number 3

Prepare for technical interviews by brushing up on your coding skills. Practice writing production-ready code and be ready to discuss how you would integrate AI systems into existing workflows. We all know that confidence is key!

Tip Number 4

Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for talented AI Engineers like you. Plus, it’s a great way to ensure your application gets the attention it deserves.

We think you need these skills to ace Ai Engineer (Contract)

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, especially in building practical applications. We want to see how your skills align with the hands-on nature of the role, so don’t hold back on showcasing relevant projects!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this contract role. Mention specific technologies like LLMs and vector databases that you’ve worked with, and how they relate to our needs.

Showcase Your Code:Since we’re looking for someone who can write production-ready code, consider including links to your GitHub or any other repositories. This gives us a chance to see your coding style and the quality of your work firsthand.

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 makes the whole process smoother for everyone involved!

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 Assessments

Expect to demonstrate your coding abilities during the interview. Practice writing production-ready code and be prepared to solve problems on the spot. Familiarise yourself with common coding challenges related to AI engineering.