At a Glance
- 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 working hours, and opportunities for professional growth.
- Other info: Join a dynamic team and help drive innovation in a fast-paced environment.
- 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 employer: Weekday
Join a pioneering team in London as a Founding Applied AI Engineer, where you'll have the chance to shape the future of agentic AI systems. Our collaborative work culture fosters innovation and creativity, offering extensive growth opportunities in a dynamic environment. With a focus on cutting-edge technology and a commitment to employee development, we provide a unique platform for you to make a meaningful impact in the AI landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Founding Applied AI Engineer for Agentic Systems
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those who work with agentic systems. Attend meetups or webinars to connect with potential colleagues and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous AI projects, especially those involving Python and orchestration frameworks like Terraform and Kubernetes. This will give you an edge when chatting with potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of AI system deployment. Practice coding challenges and be ready to discuss your thought process when designing and shipping AI systems.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals who want to make a difference in the AI space. Your next big opportunity could be just a click away!
We think you need these skills to ace Founding Applied AI Engineer for Agentic Systems
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with AI system deployment and your Python expertise. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application:Customise your application to reflect the specifics of the job description. Mention your familiarity with orchestration frameworks like Terraform and Kubernetes to show you’re the perfect fit for our team.
Be Authentic:Let your personality shine through in your written application. We’re looking for someone who’s not just technically skilled but also a great cultural fit for our early-stage environment.
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 Weekday
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of AI systems, especially those related to agentic systems. Be prepared to discuss your previous experiences in deploying AI systems and how you've tackled challenges in the past. This will show your depth of understanding and passion for the field.
✨Showcase Your Python Skills
Since a Python-first approach is key for this role, be ready 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 can help you feel more confident.
✨Familiarity with Orchestration Frameworks
Get comfortable discussing orchestration frameworks like Terraform and Kubernetes. Be prepared to share specific examples of how you've used these tools in your previous roles. This will highlight your practical experience and readiness to contribute from day one.
✨Emphasise Your Early-Stage Experience
This role is in an early-stage environment, so it’s important to convey your adaptability and willingness to wear multiple hats. Share any experiences where you’ve contributed to product workflows or helped shape a project from the ground up. This will demonstrate that you’re not just a fit for the role, but also for the company culture.
