At a Glance
- Tasks: Create scalable AI-first software and build innovative product features.
- Company: Join Cogna, a dynamic startup focused on cutting-edge AI solutions.
- Benefits: Enjoy competitive salary, share options, flexible hybrid work, and top-notch healthcare.
- Other info: Be part of a creative team driving the future of AI.
- Why this job: Make a real impact by solving industry challenges with innovative technology.
- Qualifications: Strong Python skills and a passion for early-stage startup environments.
The predicted salary is between 50000 - 65000 £ per year.
Cogna is seeking a creative Product Engineer to develop scalable and reliable AI-first software. This role involves building product features, frameworks, and experimentation with LLMs. Ideal candidates have a robust Python background and thrive in early-stage startup environments.
We offer competitive salary and share options, flexible hybrid working, and excellent healthcare. Join us in tackling critical industry challenges with innovative solutions.
AI-First Product Engineer in London employer: Cogna
Cogna is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those eager to make a significant impact in the AI space. With competitive salaries, share options, and flexible hybrid working arrangements, we prioritise employee well-being and growth, ensuring our team members are equipped to tackle industry challenges while advancing their careers in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land AI-First Product Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at startups. 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 projects, especially those involving AI and Python. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions related to product engineering and AI. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨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-First Product Engineer in London
Some tips for your application 🫡
Show Off Your Python Skills:Make sure to highlight your Python experience in your application. We want to see how you've used it in past projects, especially in building scalable software or working with AI technologies.
Be Creative and Innovative:Since we're all about tackling industry challenges with innovative solutions, don’t hesitate to showcase your creative side. Share examples of how you've approached problems in unique ways or experimented with new ideas.
Tailor Your Application:Take a moment to customise your application for the role. Mention specific aspects of the job description that excite you and how your background aligns with our mission at Cogna. We love seeing genuine interest!
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’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Cogna
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your past projects and how you've used Python to solve problems, especially in AI or software development. They’ll likely want to see your coding prowess, so practice some coding challenges to keep your skills sharp.
✨Showcase Your Creativity
As a Product Engineer, creativity is key! Prepare examples of how you've approached problem-solving in innovative ways. Think about times when you’ve built features or frameworks that made a significant impact. This will demonstrate your ability to think outside the box, which is crucial for a startup environment.
✨Familiarise Yourself with LLMs
Since the role involves experimentation with large language models (LLMs), do your homework! Understand the basics of how they work and be prepared to discuss any relevant experience you have. If you can share insights on how you might leverage LLMs in product development, you’ll definitely stand out.
✨Embrace the Startup Mindset
Working in an early-stage startup means being adaptable and proactive. Be ready to talk about how you thrive in fast-paced environments and how you handle challenges. Share stories that highlight your flexibility and willingness to take initiative, as this will resonate well with their team culture.
