Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop and implement robust AI systems for supply chain intelligence.
- Company: Leading supply chain intelligence company in Greater London.
- Benefits: Competitive salary, mentorship opportunities, and a collaborative work environment.
- Why this job: Join a team shaping the future of supply chain technology with impactful AI solutions.
- Qualifications: 5+ years in Python engineering, expertise in FastAPI, and experience with LLMs.
- Other info: Dynamic role with opportunities for professional growth and teamwork.
The predicted salary is between 48000 - 72000 £ per year.
A leading supply chain intelligence company in Greater London is seeking an experienced production Python engineer to develop and implement robust AI systems. This role involves integrating domain-specific language models into existing infrastructures, emphasizing teamwork and mentorship.
Candidates should have over five years in Python engineering, a strong grasp of FastAPI, and experience with LLMs. You will play a crucial role in building effective and scalable systems to capture global supply chain knowledge.
Senior Production AI Engineer for DSLM & Backend employer: Kallikor
Contact Detail:
Kallikor Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Production AI Engineer for DSLM & Backend
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at companies you're eyeing. A friendly chat can open doors and give you insider info that could set you apart.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those involving AI and FastAPI. This gives potential employers a taste of what you can do and makes you memorable.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to LLMs and domain-specific language models. Practising with mock interviews can help us feel more confident and ready to impress.
✨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 to connect with us directly.
We think you need these skills to ace Senior Production AI Engineer for DSLM & Backend
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 if you've worked with FastAPI or LLMs. Don't hold back on the details!
Emphasise Teamwork and Mentorship: Since this role is all about collaboration, let us know about your experiences working in teams and mentoring others. Share specific examples that showcase your ability to work well with others and help them grow.
Tailor Your Application: Take a moment to customise your application for this role. We love seeing candidates who take the time to align their skills and experiences with what we're looking for. It shows us you're genuinely interested in joining our team!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved!
How to prepare for a job interview at Kallikor
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially if you've been working with it for over five years. Be ready to discuss your past projects and how you've used Python to solve complex problems, particularly in production environments.
✨Familiarise Yourself with FastAPI
Since this role emphasises FastAPI, take some time to review its features and benefits. Prepare to explain how you've implemented FastAPI in previous projects and how it can enhance the performance of AI systems.
✨Showcase Your Teamwork and Mentorship Skills
This position values teamwork and mentorship, so think of examples where you've successfully collaborated with others or guided junior engineers. Be ready to share how you foster a positive team environment and contribute to collective success.
✨Understand LLMs and Their Applications
As you'll be integrating domain-specific language models, ensure you have a solid understanding of LLMs. Be prepared to discuss their applications in supply chain intelligence and how you've worked with them in the past.
