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- Tasks: Architect and engineer cutting-edge AI systems using Python and cloud technologies.
- Company: Dynamic tech company in Greater London with a focus on innovation.
- Benefits: Hybrid work, generous leave policies, and competitive benefits.
- Why this job: Join a pioneering team and make a high-impact contribution to AI projects.
- Qualifications: Strong Python skills, cloud-native experience, and knowledge of LLMs.
- Other info: Collaborative environment with opportunities for rapid career growth.
The predicted salary is between 36000 - 60000 £ per year.
A dynamic tech company in Greater London seeks its first dedicated AI Engineer to architect and engineer agentic systems. The role requires strong Python skills, cloud-native experience, and hands-on LLM knowledge.
As part of the data science team, you’ll collaborate closely with the Head of Data to define the technical roadmap and establish AI engineering foundations.
Competitive benefits offered, including hybrid work and generous leave policies, providing a high-velocity impact on projects.
AI Engineer: Build Agentic GenAI Systems employer: MVF
Contact Detail:
MVF Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer: Build Agentic GenAI Systems
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech community, especially those already working in companies you're interested in. A friendly chat can open doors and give you insider info on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, cloud-native applications, and any LLM work you've done. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and scenarios. Practice explaining your thought process and how you tackle problems, as this will help you stand out during technical interviews.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace AI Engineer: Build Agentic GenAI Systems
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python expertise in your application. We want to see how you've used it in past projects, especially in relation to AI and LLMs. Don’t just say you know Python; give us examples of what you've built!
Cloud-Native Experience is Key: If you've got experience with cloud-native technologies, shout about it! We’re looking for someone who can navigate the cloud like a pro, so include any relevant projects or tools you've worked with that demonstrate this skill.
Collaborate and Communicate: Since you'll be working closely with our Head of Data, it's important to show us your collaborative spirit. Mention any teamwork experiences where you’ve defined technical roadmaps or contributed to project planning. We love a good team player!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you’re keen on joining our dynamic team!
How to prepare for a job interview at MVF
✨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, including any projects you've worked on that showcase your coding abilities. Practising coding challenges can also help you feel more confident.
✨Familiarise Yourself with LLMs
Since hands-on knowledge of large language models (LLMs) is crucial for this role, take some time to review recent advancements in LLM technology. Be prepared to discuss how you've applied LLMs in past projects or how you would approach building agentic systems using them.
✨Understand Cloud-Native Concepts
As cloud-native experience is a requirement, make sure you understand the principles behind cloud computing and how they apply to AI engineering. Be ready to talk about any cloud platforms you've used and how they can enhance the performance of AI systems.
✨Show Your Collaborative Spirit
This role involves working closely with the Head of Data, so highlight your teamwork skills during the interview. Share examples of how you've successfully collaborated on projects in the past and how you can contribute to defining the technical roadmap together.
