At a Glance
- Tasks: Join the Recommendations team to enhance AI Stylist with Python and AI technologies.
- Company: Innovative tech company focused on AI and customer experience.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Make a real impact in AI by improving user experiences with cutting-edge technology.
- Qualifications: Strong Python skills and experience in AI applications, especially in recommendations.
The predicted salary is between 60000 - 80000 € per year.
Opportunity for a Python Senior Engineer. 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.
- 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 evaluations and improve system quality over time
- Experience working in cross-functional teams with engineering, data, and product
- Building and evolving AI-powered services using Python
- Improving output quality through structured evaluations rather than purely code changes
- Applying techniques such as LLM-as-a-Judge to assess response and recommendation quality
- 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
Desarrollador Senior Linux- Python in London employer: Gazelle Global
As a Senior Python 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 supports creativity and teamwork, making us an exceptional employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Desarrollador Senior Linux- Python in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with AI and Python. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI and recommendation systems. This is your chance to demonstrate your hands-on experience and how you’ve tackled real-world problems using Python.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of AI systems and their evaluation frameworks. Be ready to discuss how you’ve improved system quality in past roles. We want to see your thought process and how you approach problem-solving!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and engaged with our platform. Let’s get you on board!
We think you need these skills to ace Desarrollador Senior Linux- Python in London
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 impressive projects!
Talk About Your AI Experience:If you've built AI-powered services or worked with recommendation systems, let us know! Share specific examples of how you've improved system quality and reliability. This will show us you're a great fit for our team.
Collaboration is Key:We love teamwork! Mention any experiences you've had working in cross-functional teams with engineers, data scientists, and product stakeholders. This will help us see how you can contribute to our 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 receive your application and get to know you better. We can't wait to see what you bring to the table!
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 the context of production environments. Be ready to discuss your past projects and how you've used Python to build AI-enabled applications, particularly in recommendation systems.
✨Understand AI Systems Deeply
Familiarise yourself with the differences between AI systems and traditional deterministic systems. Be prepared to explain how you've designed evaluations for AI systems and how you can improve system quality over time.
✨Collaborate Like a Pro
Since this role involves working closely with engineers, data scientists, and product stakeholders, think of examples where you've successfully collaborated in cross-functional teams. Highlight your communication skills and how you’ve contributed to team success.
✨Showcase Your Evaluation Framework Knowledge
Be ready to discuss hands-on experience with evaluation frameworks for LLM or AI systems. Share specific techniques you've applied, like LLM-as-a-Judge, and how these have helped improve output quality in your previous roles.
