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- Tasks: Design and deploy next-gen AI systems with a focus on agentic capabilities.
- Company: Exciting early-stage tech company in London shaping the future of AI.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Join a dynamic team and help shape innovative product workflows.
- Why this job: Be a founding engineer and make a real impact in the AI landscape.
- Qualifications: Experience in AI deployment and proficiency in Python; knowledge of Terraform and Kubernetes is a plus.
The predicted salary is between 60000 - 80000 £ per year.
A client company in London seeks an early hire/founding engineer to build next-generation, production-grade AI systems. The role involves designing and shipping agentic AI systems and deploying LLM workloads. Ideal candidates will have extensive experience in AI system deployment and a Python-first approach, alongside familiarity with orchestration frameworks like Terraform and Kubernetes. This is a unique opportunity in an early-stage environment, contributing significantly to product workflows.
Founding Applied AI Engineer for Agentic Systems in London employer: Weekday
Contact Detail:
Weekday Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Founding Applied AI Engineer for Agentic Systems in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those who work with agentic systems. 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 previous AI projects, especially those involving Python and orchestration frameworks. This will give you an edge when discussing your experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of LLM workloads and deployment strategies. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨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 Founding Applied AI Engineer for Agentic Systems in London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI shine through! We want to see how excited you are about building next-gen systems and what drives you in this field.
Highlight Relevant Experience: Make sure to showcase your experience with AI system deployment and your Python skills. We’re looking for candidates who can hit the ground running, so don’t hold back on those key projects!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so make it easy for us to see why you’re a great fit for the role without wading through unnecessary fluff.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves.
How to prepare for a job interview at Weekday
✨Know Your AI Systems Inside Out
Make sure you brush up on your knowledge of AI system deployment. Be ready to discuss your past experiences with agentic AI systems and how you've tackled challenges in production-grade environments. This will show your potential employer that you're not just familiar with the concepts, but that you can apply them effectively.
✨Show Off Your Python Skills
Since this role requires a Python-first approach, be prepared to demonstrate your coding skills. You might be asked to solve a problem or explain your thought process while coding. Practising common algorithms or building small projects in Python can help you feel more confident during the interview.
✨Familiarise Yourself with Orchestration Frameworks
Get comfortable discussing orchestration frameworks like Terraform and Kubernetes. Be ready to share specific examples of how you've used these tools in previous projects. This will highlight your hands-on experience and show that you can hit the ground running in this early-stage environment.
✨Emphasise Your Contribution to Product Workflows
This role is about making a significant impact, so think about how you've contributed to product workflows in the past. Prepare to discuss your approach to collaboration and how you’ve worked with cross-functional teams to deliver successful AI solutions. This will demonstrate your ability to thrive in a startup culture.