Data Scientist - LLM
As a Data Scientist focused on LLM at Gorgias, you will play a crucial role in developing, refining, and enabling our AI Agent designed to automatically address and resolve shopper requests for our merchant clients. Beyond prompt engineering, you'll be instrumental in scaling the AI Agent's capabilities by developing the right LLM strategies to enable our services. You will work closely with our ML Engineers, Product Managers, and Software Engineers to create, optimize, and implement solutions that enhance the efficiency, accuracy, and functionality of our AI-driven customer support solutions.
What You’ll Do
- Design and iterate on LLM-based workflows, including prompting, chaining, and tool usage, to improve the performance of AI agents in production
- Build and improve systems that reliably handle real customer support interactions at scale
- Review large volumes of customer conversations to identify failure modes and areas for improvement
- Develop and maintain evaluation frameworks, including offline testing and online A/B experiments
- Define and track metrics to measure AI agent performance and guide iteration
- Create and maintain datasets for continuous improvement and non-regression
- Collaborate with Product Managers and Engineers to prioritize improvements and ship high-impact features
- Contribute to the design of internal tools and abstractions that enable scalable AI agent development across teams
- Integrate AI agents with internal systems and external e-commerce platforms
- Document methodologies, best practices, and learnings to support team scalability and knowledge sharing
Who You Are
- 2–5 years of experience in software engineering, applied AI, or a similar role
- Strong programming skills in Python or TypeScript
- Experience building LLM-powered applications or AI agents in production environments
- Comfortable working with real-world data, including reviewing large volumes of conversations to identify issues and improvement opportunities
- Experience designing and iterating on prompts, including techniques such as chaining, few-shot prompting, or tool usage
- Familiarity with evaluating LLM performance through structured methods, such as offline evaluation and A/B testing
- Product-minded, with a focus on delivering solutions that improve user experience and business outcomes
- Able to balance speed and quality, and iterate quickly based on data and feedback
- Strong communication skills, able to collaborate effectively with engineers, product managers, and other stakeholders
Nice to have
- Experience building internal tools or platforms
- Experience with orchestration or workflow tools, such as Temporal
- Experience working on customer support, SaaS, or e-commerce products
Benefits and Perks
- 5-week vacation plus 2 weeks RTT
- Paid sick leave
- Paid parental leave (16 weeks)
- MacBook Pro
- Personal credit card to buy lunches
- Private health insurance
- Up to €700 to set up your workstation at home
- Up to €2000 of learning material and wellness support per year
- Quarterly online company-wide summit and yearly offsite team retreats
Diversity & Inclusion
We’re committed to creating an inclusive environment where everyone can thrive. We welcome applicants from all backgrounds, experiences, and perspectives because diverse teams drive innovation and better decision-making.
If you need accommodations during the application or interview process, please contact us at
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