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- Tasks: Provide top-notch technical support for AI products and help customers maximise their experience.
- Company: Join a fast-growing, multicultural deep-tech company leading in Quantum Software and AI.
- Benefits: Competitive salary, signing bonuses, relocation package, hybrid work, and flexible hours.
- Why this job: Work with cutting-edge AI technology and make a real impact in a dynamic environment.
- Qualifications: Strong tech background, experience with APIs, and excellent communication skills required.
- Other info: Be part of a rapidly scaling company with international exposure and career growth opportunities.
The predicted salary is between 27000 - 45000 £ per year.
Overview
At RemoteStar, we\’re currently hiring for one of our client based in Spain.
About client :
Well-funded and fast-growing deep-tech company founded in 2019. We are the biggest Quantum Software company in the EU. They are also one of the 100 most promising companies in AI in the world (according to CB Insights, 2023) with 150+ employees and growing, fully multicultural and international.
About the Role:
We are seeking a proactive and technically skilled Product Support Engineer to join our team on a temporary basis (contract) and provide customer-facing technical support for our compressed Large Language Models (LLMs) and API services.
You will be the first point of contact for technical inquiries, troubleshooting, and guidance, helping customers maximize value from our AI solutions. This is a unique opportunity to work with cutting-edge AI technology, ensure high customer satisfaction, and contribute to the success of a major new initiative.
Responsibilities
- Become an expert in all our client’s products
- Provide first-line technical support with a variety of complexity, from simple billing or account questions for individuals to complex, incident-level issues and debugging
- Investigate and resolve customer-reported issues by reproducing problems and identifying root causes.
- Collaborate with engineering teams to escalate and resolve complex technical problems.
- Assist customers with API integration, usage, and best practices for performance and reliability.
- Document common issues, solutions, and best practices in a customer knowledge base.
- Communicate clearly and empathetically with customers, ensuring high satisfaction and trust.
Required Qualifications
- Strong technical background with experience in troubleshooting APIs, SDKs, or software integrations.
- Familiarity with AI/ML concepts, particularly Large Language Models and model deployment.
- Proficiency in Python and experience with APIs.
- Excellent communication and problem-solving skills; able to explain technical concepts to non-technical users.
- Bachelor’s degree in Computer Science, Engineering, or related field; or equivalent practical experience.
Preferred Qualifications (Nice-to have)
- Experience supporting AI/ML products or developer-focused platforms.
- Knowledge of model compression techniques and performance optimization.
- Contributions to documentation, tutorials, or developer community forums.
- Experience using ticketing and support tools (e.g., Zendesk, Jira, or similar).
We offer
- Competitive annual salary starting from €45,000, based on experience and qualifications.
- Two unique bonuses: signing bonus at incorporation and retention bonus at contract completion.
- Relocation package (if applicable).
- Fixed-term contract ending in June 2026.
- Hybrid role and flexible working hours.
- Be part of a fast-scaling Series B company at the forefront of deep tech.
- Equal pay guaranteed.
- International exposure in a multicultural, cutting-edge environment.
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Product Support Engineer (AI/LLM) employer: RemoteStar
Contact Detail:
RemoteStar Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Support Engineer (AI/LLM)
✨Tip Number 1
Get to know the company inside out! Research RemoteStar and their AI products, especially their LLMs. This will help you speak their language during interviews and show that you're genuinely interested.
✨Tip Number 2
Practice your technical skills! Brush up on troubleshooting APIs and Python, as these are key for the Product Support Engineer role. We recommend doing some mock scenarios to get comfortable explaining complex concepts simply.
✨Tip Number 3
Network like a pro! Connect with current employees on LinkedIn or join relevant forums. This can give you insider tips and might even lead to a referral, which is always a bonus!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Product Support Engineer (AI/LLM)
Some tips for your application 🫡
Show Your Technical Skills: Make sure to highlight your technical background in your application. We want to see your experience with APIs, SDKs, and any AI/ML concepts you've worked with. Don't be shy about showcasing your Python skills too!
Tailor Your Application: Take a moment to customise your application for the Product Support Engineer role. Mention specific experiences that relate to troubleshooting and customer support, especially in tech environments. This helps us see how you fit into our team!
Communicate Clearly: Since you'll be dealing with customers, it's crucial to demonstrate your communication skills in your written application. Use clear and concise language to explain your past experiences, especially when it comes to solving technical problems.
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. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at RemoteStar
✨Know Your Stuff
Make sure you dive deep into the company's products and services, especially their AI solutions and Large Language Models. Familiarise yourself with common technical issues and how to troubleshoot them, so you can confidently discuss your expertise during the interview.
✨Showcase Your Communication Skills
Since you'll be dealing with customers who may not be tech-savvy, practice explaining complex concepts in simple terms. Prepare examples of how you've successfully communicated technical information to non-technical users in the past.
✨Prepare for Technical Questions
Expect questions about APIs, SDKs, and Python. Brush up on your technical knowledge and be ready to solve problems on the spot. You might even be asked to demonstrate your troubleshooting skills, so think through some scenarios beforehand.
✨Emphasise Team Collaboration
Highlight your experience working with engineering teams to resolve issues. Be prepared to discuss how you’ve collaborated in the past, as teamwork is crucial in this role. Share specific examples that showcase your ability to work well with others.
