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- Tasks: Build and ship high-impact software using AI and LLM technologies.
- Company: Join a Y-Combinator backed AI startup with a dynamic engineering team.
- Benefits: Flexible working arrangements, competitive salary up to £85k, and career growth.
- Other info: Collaborative environment focused on solving complex problems.
- Why this job: Make a real-world impact while working on cutting-edge AI solutions.
- Qualifications: Experience in Python, React, and a passion for innovative tech.
The predicted salary is between 85000 - 85000 £ per year.
Location: London, flexible working arrangements, ideally 1/2 days in office
Tech Stack: Python, Flask, FastAPI, React, TypeScript, GCP (Backend Leaning)
Our y-combinator backend client are building an elite engineering team within the AI space. If you're highly ambitious and want to solve real-world problems with the latest in AI and LLMs, this role is for you.
- Build and ship high-impact software
- Work on AI/LLM-powered automation tools used in production
- Help shape scalable systems and infrastructure
- Be working end-to-end on both backend and frontend
- Love building and shipping quickly
Software Developer - Python/React employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Developer - Python/React
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software development space on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those using Python, React, or any AI tools. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by practicing coding challenges and system design questions. Use platforms like LeetCode or HackerRank to sharpen your skills. Remember, confidence is key!
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace Software Developer - Python/React
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, React, and any relevant tech stacks. We want to see how your skills align with our needs, so don’t be shy about showcasing your projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about AI and how you can contribute to our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Projects: If you've worked on any cool projects, especially those involving AI or automation tools, make sure to mention them. We’re keen to see what you’ve built and how you approach problem-solving.
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 Oliver Bernard
✨Know Your Tech Stack
Make sure you’re well-versed in Python, Flask, FastAPI, React, and TypeScript. Brush up on your knowledge of GCP as well. Being able to discuss how you've used these technologies in past projects will show your expertise and enthusiasm for the role.
✨Showcase Your Problem-Solving Skills
Prepare examples of real-world problems you've solved using AI or automation tools. This is a key focus for the company, so demonstrating your ability to think critically and innovate will set you apart from other candidates.
✨Demonstrate Your Passion for Speed
Since they love building and shipping quickly, be ready to talk about your experiences with agile methodologies or rapid development cycles. Share specific instances where you delivered projects under tight deadlines without compromising quality.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's vision for AI and LLMs, their engineering culture, and how they approach scalability. This shows that you're not just interested in the job, but also in contributing to their mission and growth.