At a Glance
- Tasks: Build and operationalise AI workflows using cutting-edge technology.
- Company: Join twentysix, a forward-thinking AI team in the UK.
- Benefits: Enjoy 28 days holiday, private medical insurance, and a competitive salary.
- Other info: Supportive environment with extensive learning and personal development opportunities.
- Why this job: Make an impact by integrating LLM functionality into reliable systems.
- Qualifications: 5-10 years of software engineering experience and strong Python skills required.
The predicted salary is between 60000 - 80000 £ per year.
twentysix is looking for an Engineer to join their AI team in the UK. This role involves building and operationalizing AI workflows across various business use cases and integrating LLM functionality into reliable systems.
Candidates should have 5-10 years of software engineering experience, strong Python skills, and cloud infrastructure expertise, preferably in Azure.
The position offers a competitive salary and a supportive environment focused on personal development. Benefits include:
- 28 days of holiday
- a discretionary bonus
- private medical insurance
- extensive learning opportunities
AI Platform Engineer – Azure, LLMs & Production Workflows employer: twentysix
twentysix is an exceptional employer that prioritises personal development and offers a supportive work environment for its AI team in the UK. With competitive salaries, generous benefits such as 28 days of holiday, private medical insurance, and a focus on continuous learning, employees are empowered to grow their skills while contributing to innovative AI solutions.
StudySmarter Expert Advice🤫
We think this is how you could land AI Platform Engineer – Azure, LLMs & Production Workflows
✨Tip Number 1
Network like a pro! Reach out to people in the AI and engineering fields, especially those working with Azure and LLMs. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AI workflows and Python. 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 common technical questions and scenarios related to cloud infrastructure. We recommend practising coding challenges and discussing your past experiences with AI systems.
✨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 are proactive about their job search.
We think you need these skills to ace AI Platform Engineer – Azure, LLMs & Production Workflows
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your relevant experience in software engineering, especially with Python and Azure. We want to see how your skills align with the AI workflows and LLM functionality mentioned in the job description.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how your background makes you a great fit for our team. Share specific examples of your work that relate to building and operationalising AI systems.
Showcase Your Projects:If you've worked on any projects involving AI or cloud infrastructure, make sure to mention them! We love seeing practical applications of your skills, so include links or descriptions of your work.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at twentysix
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and Azure knowledge. Be ready to discuss specific projects where you've built or operationalised AI workflows, as this will show your hands-on experience and understanding of the role.
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced in previous roles, especially those related to integrating LLM functionality. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your critical thinking.
✨Understand the Company Culture
Research twentysix and their approach to AI. Familiarise yourself with their values and how they support personal development. This will help you align your answers with what they’re looking for in a candidate.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, ongoing projects, and learning opportunities. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you.
