Product Support Engineer (AI/LLM)
Posted 3 days ago by RemoteStar
Negotiable
Undetermined
Undetermined
England, United Kingdom
Summary: The Product Support Engineer role at RemoteStar involves providing customer-facing technical support for compressed Large Language Models (LLMs) and API services. The position requires a proactive individual with a strong technical background to troubleshoot issues and assist customers in maximizing the value of AI solutions. This temporary role is based in Spain, with relocation to either Barcelona or Madrid, and offers visa sponsorship. The successful candidate will work with cutting-edge AI technology in a multicultural environment.
Key Responsibilities:
- Become an expert in all client products.
- Provide first-line technical support for a variety of issues.
- Investigate and resolve customer-reported issues.
- Collaborate with engineering teams to escalate complex problems.
- Assist customers with API integration and best practices.
- Document common issues and solutions in a knowledge base.
- Communicate clearly and empathetically with customers.
Key Skills:
- Strong technical background in troubleshooting APIs, SDKs, or software integrations.
- Familiarity with AI/ML concepts, particularly Large Language Models.
- Proficiency in Python and experience with APIs.
- Excellent communication and problem-solving skills.
- Bachelor’s degree in Computer Science, Engineering, or related field.
Salary (Rate): undetermined
City: undetermined
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
At RemoteStar, we're currently hiring for one of our client based in Spain. Visa Sponsorship will be provided. Total experience: 3-7 Years Work Location : Relocation to Barcelona / Madrid Relocation package (if applicable) will be given
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 (9 months 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.
As a Product Support Engineer, you will:
- 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).