At a Glance
- Tasks: Build and evolve AI-powered services using Python and improve system quality.
- Company: Join a forward-thinking tech company focused on AI innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on cross-functional teamwork and career advancement.
- Why this job: Make a real impact in AI by enhancing customer experiences with cutting-edge technology.
- Qualifications: Strong Python skills and experience with AI-enabled applications required.
The predicted salary is between 60000 - 80000 € per year.
You will join the Recommendations team, contributing to the AI Stylist experience, an AI-powered product that combines conversational interfaces with recommendation capabilities. The work sits at the intersection of engineering and AI, focused on improving relevance, quality, and reliability in a live, customer-facing system. You will collaborate closely with engineers, data scientists, and product stakeholders to evolve the system and support its rapid growth.
Essential skills/knowledge/experience:
- Strong Python engineering experience in production environments
- Experience building AI-enabled applications, particularly in recommendation or conversational systems
- Hands-on experience with evaluation frameworks for LLM or AI systems
- Clear understanding of how AI systems differ from traditional deterministic systems
- Ability to design meaningful evals and improve system quality over time
- Experience working in cross-functional teams with engineering, data, and product
Your responsibilities:
- Building and evolving AI-powered services using Python
- Designing and implementing evaluation frameworks for LLM-based systems
- Improving output quality through structured evals rather than purely code changes
- Applying techniques such as LLM-as-a-Judge to assess response and recommendation quality
- Working with non-deterministic systems and iterating based on real-world behaviour
- Integrating AI services into a broader platform and API ecosystem
- Contributing to production readiness including reliability, observability, and performance
- Partnering with data scientists on prompts, model usage, and evaluation strategies
Python Senior Engineer employer: Gazelle Global
As a Python Senior Engineer at our company, you will be part of an innovative team dedicated to enhancing the AI Stylist experience, where your contributions will directly impact customer interactions. We pride ourselves on fostering a collaborative work culture that encourages continuous learning and professional growth, offering ample opportunities for skill development in cutting-edge AI technologies. Located in a vibrant tech hub, we provide a dynamic environment that not only values creativity and teamwork but also supports a healthy work-life balance with flexible working arrangements.
StudySmarter Expert Advice🤫
We think this is how you could land Python Senior Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech world, especially those who work with AI and Python. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those involving AI or recommendations. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of AI systems and evaluation frameworks. Be ready to discuss how you've tackled challenges in previous roles, especially in cross-functional teams.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes it easier for us to keep track of your application.
We think you need these skills to ace Python Senior Engineer
Some tips for your application 🫡
Show Off Your Python Skills:Make sure to highlight your strong Python engineering experience in your application. We want to see how you've used Python in production environments, especially in AI-enabled applications. Don't hold back on those juicy details!
Talk About Your AI Experience:If you've built any recommendation or conversational systems, let us know! Share specific examples of how you've designed evaluation frameworks for LLM or AI systems. This is your chance to shine and show us what you can bring to the table.
Collaboration is Key:We love teamwork! Mention your experience working in cross-functional teams with engineers, data scientists, and product stakeholders. Highlight how you've contributed to evolving systems and supporting growth in a collaborative environment.
Apply Through Our Website:Ready to take the plunge? Make sure to apply through our website. It’s the best way for us to get your application and for you to join our amazing team at StudySmarter. We can't wait to hear from you!
How to prepare for a job interview at Gazelle Global
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially in production environments. Be ready to discuss your past projects and how you've tackled challenges using Python, particularly in AI-enabled applications.
✨Familiarise Yourself with AI Systems
Understand the differences between AI systems and traditional deterministic systems. Be prepared to explain how you've designed evaluation frameworks for LLM or AI systems and how these frameworks improve system quality over time.
✨Showcase Your Collaboration Skills
Since you'll be working closely with engineers, data scientists, and product stakeholders, highlight your experience in cross-functional teams. Share examples of how you've successfully collaborated to evolve systems and support growth.
✨Prepare for Technical Questions
Expect technical questions related to building AI-powered services and integrating them into broader platforms. Practice explaining your thought process when designing meaningful evaluations and improving output quality through structured evaluations.
