At a Glance
- Tasks: Own key features and transform product challenges into robust software solutions.
- Company: Exciting AI decision infrastructure startup based in London.
- Benefits: Competitive salary, dynamic work environment, and opportunities for continuous learning.
- Why this job: Join a high-execution team and make a real impact in AI technology.
- Qualifications: Proficient in React and Python, with experience in early-stage environments.
- Other info: Collaborative culture that values strong decision-making and system robustness.
The predicted salary is between 36000 - 60000 £ per year.
An AI decision infrastructure startup in London is seeking a Product / Software Engineer. This exciting role offers ownership of key features in a fast-paced environment, transforming product problems into robust software solutions.
Candidates should be proficient in React and Python, with experience in early-stage environments and a dedication to system robustness.
Join a high-execution team that values strong decision-making and continuous learning in a collaborative setting.
AI Systems Engineer: End-to-End Ownership (London) employer: Jack & Jill/External Ats
Contact Detail:
Jack & Jill/External Ats Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Systems Engineer: End-to-End Ownership (London)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software engineering space, especially those who work at startups. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your React and Python projects. This is your chance to demonstrate your problem-solving abilities and system robustness in action.
✨Tip Number 3
Prepare for interviews by brushing up on decision-making scenarios. Think of examples where you’ve made tough calls in fast-paced environments. We want to see how you tackle challenges head-on!
✨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 Systems Engineer: End-to-End Ownership (London)
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let us see your enthusiasm for AI and how it drives you. Share any personal projects or experiences that highlight your dedication to the field – we love seeing candidates who are genuinely excited about what they do!
Tailor Your Skills to the Role: Make sure to highlight your proficiency in React and Python clearly in your application. We want to see how your skills align with the key features you'll be owning, so don’t hold back on showcasing relevant projects or experiences that demonstrate your expertise.
Emphasise Collaboration and Learning: Since we value a collaborative environment, mention any experiences where you've worked in teams or learned from others. Show us how you contribute to a high-execution team and how you embrace continuous learning – it’s all about growing together!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to provide all the necessary details in one go. Plus, it helps us keep track of your application better!
How to prepare for a job interview at Jack & Jill/External Ats
✨Know Your Tech Stack
Make sure you brush up on your React and Python skills before the interview. Be ready to discuss specific projects where you've used these technologies, and think about how you can demonstrate your proficiency through examples.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled product problems in the past. Think of a few scenarios where you transformed challenges into robust software solutions, and be ready to explain your thought process and decision-making.
✨Emphasise Collaboration
Since this role is in a high-execution team, highlight your experience working in collaborative environments. Share examples of how you've contributed to team success and learned from others, showing that you're a team player who values continuous learning.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's vision and the specific challenges they face. This not only shows your interest in the role but also demonstrates your proactive approach to understanding the business and its needs.