AI Production & Infrastructure Engineer

AI Production & Infrastructure Engineer

Full-Time 80000 - 130000 € / year (est.) No home office possible
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At a Glance

  • Tasks: Own the data infrastructure for AI deployments and integrate solutions into business ecosystems.
  • Company: Join Smartstream, a leader in innovative tech solutions.
  • Benefits: Competitive salary, excellent benefits, and hybrid work flexibility.
  • Other info: Exciting opportunities for career growth in a dynamic environment.
  • Why this job: Make an impact in AI while working with cutting-edge technology.
  • Qualifications: 3-5 years in software or data engineering with strong Python and SQL skills.

The predicted salary is between 80000 - 130000 € per year.

Smartstream is seeking a Data Engineer to own the data infrastructure for AI deployments in Bristol/London. The role includes integrating AI solutions into business ecosystems, building APIs, and ensuring data reliability.

Candidates should have 3–5 years of experience in software or data engineering, solid Python and SQL skills, and familiarity with cloud platforms like AWS or Azure.

This hybrid position offers a salary between £80,000 and £130,000 p/a depending on experience, alongside excellent benefits.

AI Production & Infrastructure Engineer employer: SmartStream

Smartstream is an exceptional employer that fosters a dynamic work culture, encouraging innovation and collaboration among its team members. With a strong focus on employee growth, the company offers extensive training opportunities and a competitive salary package, making it an ideal place for professionals looking to advance their careers in AI and data engineering. Located in vibrant Bristol/London, employees benefit from a thriving tech community and a supportive environment that values work-life balance.

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Contact Detail:

SmartStream Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Production & Infrastructure Engineer

Tip Number 1

Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can refer you directly.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, and cloud platforms. This will give potential employers a taste of what you can do.

Tip Number 3

Prepare for interviews by brushing up on common technical questions related to data engineering and AI. Practice explaining your past projects and how they relate to the role at Smartstream.

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 AI Production & Infrastructure Engineer

Data Engineering
Python
SQL
Cloud Platforms (AWS, Azure)
API Development
Data Reliability
Integration of AI Solutions

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience in software or data engineering, especially with Python and SQL. 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 excited about the AI Production & Infrastructure Engineer role and how your background makes you a perfect fit for our team at Smartstream.

Showcase Your Cloud Experience:Since familiarity with cloud platforms like AWS or Azure is key, make sure to mention any relevant projects or experiences. We love seeing how you’ve integrated AI solutions into business ecosystems!

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 this exciting opportunity. Don’t miss out!

How to prepare for a job interview at SmartStream

Know Your Tech Stack

Make sure you’re well-versed in Python, SQL, and the cloud platforms mentioned, like AWS or Azure. Brush up on your knowledge of APIs and data reliability concepts, as these will likely come up during the interview.

Showcase Your Experience

Prepare to discuss specific projects where you've integrated AI solutions or built data infrastructures. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your contributions.

Understand Smartstream's Ecosystem

Research Smartstream and their business model. Knowing how they utilise AI in their operations will help you tailor your responses and demonstrate your genuine interest in the role.

Ask Insightful Questions

Prepare thoughtful questions about the team dynamics, current projects, and future goals related to AI deployments. This shows your enthusiasm for the position and helps you gauge if it’s the right fit for you.