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 practices.
- 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 in London employer: Kallikor
Kallikor is an exceptional employer located in Greater London, offering a dynamic work culture that fosters innovation and collaboration. With a strong emphasis on mentorship and professional development, employees are encouraged to grow their skills in AI and engineering while contributing to impactful projects that transform supply chain intelligence. The company provides competitive benefits and a supportive environment, making it an ideal place for those seeking meaningful and rewarding employment in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Production AI Engineer: Python & LLM Systems in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at meetups. 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 LLMs. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to FastAPI and AI systems. Practising with a friend can help you feel more confident when it’s your turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who take the initiative. Plus, it makes it easier for us to keep track of your application.
We think you need these skills to ace Senior Production AI Engineer: Python & LLM Systems in London
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 solutions you implemented.
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 see what you bring to the table!
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 building AI systems or FastAPI services. Prepare to showcase specific projects where you've implemented quality coding practices.
✨Familiarise Yourself with LLMs
Since the role involves working with domain-specific language models, take some time to understand the latest trends and technologies in LLM integration. Be prepared to discuss how you've trained or implemented these models in past projects, and think about any challenges you faced and how you overcame them.
✨Showcase Your Mentorship Skills
Kallikor values mentorship, so be ready to talk about your experiences mentoring others. Think of specific examples where you've guided junior engineers or contributed to team development. Highlight how you foster a collaborative environment and share knowledge within your team.
✨Prepare for Real-World Problem Solving
Expect questions that assess your problem-solving abilities in real-world scenarios. Prepare to discuss how you've tackled challenges in AI projects, particularly in production environments. Use the STAR method (Situation, Task, Action, Result) to structure your answers effectively.
