At a Glance
- Tasks: Develop AI systems for supply chain intelligence using Python and language models.
- Company: Improbable, a leader in innovative technology solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for mentorship.
- Other info: Collaborative environment with opportunities to mentor and grow your skills.
- Why this job: Join a cutting-edge team and shape the future of AI in supply chains.
- Qualifications: 5+ years in production Python development and experience with large language models.
The predicted salary is between 60000 - 84000 £ per year.
Improbable is seeking a skilled production engineer to develop AI systems focusing on supply chain intelligence. This role entails building robust Python applications, deploying language models, and enhancing backend integrations.
Ideal candidates will have over 5 years of experience in production Python development, strong engineering fundamentals, and practical experience with large language models. A collaborative approach and the ability to mentor juniors is essential.
Production AI Engineer: DSLM & LLM Systems employer: Improbable
Improbable is an exceptional employer that fosters a collaborative and innovative work culture, making it an ideal place for Production AI Engineers to thrive. With a strong emphasis on employee growth, we offer opportunities for mentorship and skill development, all while working in a dynamic environment focused on cutting-edge AI systems in the heart of the tech industry. Join us to be part of a team that values creativity and excellence, where your contributions directly impact supply chain intelligence solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Production AI Engineer: DSLM & LLM Systems
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with AI and Python. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects and any work with language models. 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 technical knowledge and soft skills. Practice explaining complex concepts simply, as you might need to mentor juniors in the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Production AI Engineer: DSLM & 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 built robust applications and tackled challenges in production environments. Don't hold back on those impressive projects!
Talk About Your AI Experience:Since we're focusing on AI systems, share your hands-on experience with large language models. We love to hear about the specific projects you've worked on and how you've deployed these models in real-world scenarios.
Collaboration is Key:We value a collaborative spirit, so mention any experiences where you've worked in teams or mentored others. Show us how you can contribute to our team dynamic and help junior engineers grow.
Apply Through Our Website:To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Improbable
✨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. Highlight any specific frameworks or libraries you've worked with that are relevant to the role.
✨Showcase Your AI Knowledge
Since the role focuses on AI systems, be prepared to dive deep into your experience with large language models. Discuss any projects where you've deployed these models and the impact they had on supply chain intelligence. This will show your practical understanding of the technology.
✨Collaboration is Key
Improbable values a collaborative approach, so be ready to share examples of how you've worked effectively in teams. Talk about your mentoring experiences and how you've helped junior engineers grow. This will demonstrate your ability to contribute to a positive team dynamic.
✨Prepare Questions About the Role
Interviews are a two-way street, so come prepared with insightful questions about the position and the company. Ask about their current projects, the tech stack they use, or how they envision the future of AI in their supply chain solutions. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
