At a Glance
- Tasks: Build AI-powered simulation systems and design FastAPI services.
- Company: Kallikor, a forward-thinking company in Greater London.
- Benefits: Competitive salary, mentorship opportunities, and a focus on quality coding.
- Other info: Join a dynamic team and tackle real-world AI challenges.
- Why this job: Transform supply chain intelligence with cutting-edge AI technology.
- Qualifications: Experience in Python, engineering principles, and LLM integration required.
The predicted salary is between 60000 - 80000 £ per year.
Kallikor in Greater London is looking for a Production Engineer to build AI-powered simulation systems. In this role, you will design FastAPI services, train domain-specific language models, and ensure products are production-ready. Your experience with Python, engineering principles, and LLM integration will be crucial.
The role emphasizes mentorship, quality coding practices, and the ability to handle real-world challenges in AI. Join Kallikor and contribute to transforming supply chain intelligence.
Senior Production AI Engineer: Python & LLM Systems employer: Kallikor
Kallikor is an exceptional employer that fosters a collaborative and innovative work culture in the heart of Greater London. With a strong emphasis on mentorship and professional development, employees are encouraged to grow their skills while tackling real-world challenges in AI. The company offers competitive benefits and a dynamic environment where your contributions directly impact the transformation of supply chain intelligence.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Production AI Engineer: Python & LLM Systems
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and production engineering space on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those involving FastAPI and LLM systems. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on real-world challenges in AI. Think about how you would tackle issues in production-ready systems and be ready to share your thought process.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Senior Production AI Engineer: Python & LLM Systems
Some tips for your application 🫡
Show Off Your Python Skills:Make sure to highlight your experience with Python in your application. We want to see how you've used it in real-world projects, especially in building services like FastAPI or working with LLMs.
Talk About Your Mentorship Experience:If you've mentored others in coding or engineering principles, let us know! We value teamwork and knowledge sharing, so share any examples of how you've helped others grow in their skills.
Demonstrate Problem-Solving Abilities:We love candidates who can tackle real-world challenges. In your application, include specific examples of how you've approached complex problems in AI or production systems and what the outcomes were.
Apply Through Our Website:Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can't wait to hear from you!
How to prepare for a job interview at Kallikor
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with Python in detail, especially how you've used it in AI projects. Prepare to showcase your understanding of engineering principles and how they apply to building robust systems.
✨Familiarise Yourself with FastAPI
Since you'll be designing FastAPI services, it's crucial to have a solid grasp of this framework. Try to build a small project using FastAPI beforehand, so you can speak confidently about your experience and any challenges you faced while working with it.
✨Showcase Your LLM Knowledge
Kallikor is looking for someone who can train domain-specific language models. Be prepared to discuss your experience with LLM integration and any specific projects where you've implemented these systems. Highlight your problem-solving skills and how you've tackled real-world challenges in AI.
✨Emphasise Mentorship and Teamwork
This role places a strong emphasis on mentorship and quality coding practices. Think of examples from your past experiences where you've mentored others or contributed to team success. Be ready to discuss how you ensure high-quality code and foster a collaborative environment.
