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- Tasks: Build innovative full-stack applications and solve real-world problems with cutting-edge tech.
- Company: Exciting AI startup backed by top-tier VC funding, located in Central London.
- Benefits: Competitive salary up to £170k, equity options, and a creative work environment.
- Why this job: Join a dynamic team and make an impact in the fast-paced world of AI technology.
- Qualifications: 3+ years in full-stack development with Python/JS, and experience with LLM APIs.
- Other info: Opportunity to learn from experienced founders and thrive in a flexible, ambiguous environment.
The predicted salary is between 102000 - 238000 £ per year.
We’re looking for engineers who just get it. Top tier developers who can talk to clients, figure out potential blockers/bottlenecks, brainstorm end-to-end solutions, and execute ambiguous work without the need for tickets or being told to do it!
Requirements:
- 3+ years building full-stack applications with Python/JS, or TypeScript (React, Next.js, Node, etc)
- Hands-on experience working with LLM APIs (OpenAI, Anthropic, or similar)
- High 2.1/First in Computer Science (or similar) from Top Tier University (Oxford, Cambridge, Imperial, UCL, etc)
- Ok with ambiguity. Everything won’t always be clear, but the job is to change that!
Package:
- Up to £170k base salary
- Real equity
- Freedom to build
- Creative space where you can learn from founders who have done this before!
You don't want to be late for this one - apply now!
Product Engineer | Top-Tier VC Backed AI Startup | 8-Figure Funding!!! in Slough employer: Tech Talent Network
Contact Detail:
Tech Talent Network Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Engineer | Top-Tier VC Backed AI Startup | 8-Figure Funding!!! in Slough
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your full-stack projects, especially those using Python/JS or TypeScript. This will give you an edge and demonstrate your hands-on experience with LLM APIs.
✨Tip Number 3
Prepare for interviews by practising problem-solving on the spot. Since ambiguity is part of the role, be ready to tackle open-ended questions and showcase how you can navigate through unclear situations.
✨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 take that extra step to engage with us directly.
We think you need these skills to ace Product Engineer | Top-Tier VC Backed AI Startup | 8-Figure Funding!!! in Slough
Some tips for your application 🫡
Show Your Passion: When you're writing your application, let your enthusiasm for the role shine through! We want to see that you’re genuinely excited about the opportunity to work with us and tackle the challenges of a full-stack product engineer.
Tailor Your CV: Make sure your CV is tailored to highlight your experience with Python/JS and LLM APIs. We’re looking for top-tier developers, so showcase your skills and projects that align with what we do at StudySmarter!
Be Clear and Concise: We appreciate clarity! When describing your past experiences, be straightforward and to the point. Avoid jargon unless it’s relevant, and make sure we can easily see how your background fits our needs.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Tech Talent Network
✨Know Your Tech Stack Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, JavaScript, and TypeScript. Brush up on your experience with frameworks like React, Next.js, and Node. Being able to discuss your past projects and how you tackled challenges will show that you truly understand the tech.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you identified blockers or bottlenecks in your previous work. Think about how you approached these issues and what solutions you implemented. This will demonstrate your ability to handle ambiguity and execute without needing constant direction.
✨Familiarise Yourself with LLM APIs
Since hands-on experience with LLM APIs is a requirement, make sure you can talk confidently about your experience with OpenAI, Anthropic, or similar technologies. If you’ve worked on projects involving these APIs, be ready to share insights and outcomes from those experiences.
✨Embrace the Startup Mindset
Understand that working in a startup means being adaptable and proactive. Prepare to discuss how you thrive in fast-paced environments and how you approach learning new skills or technologies. Showing enthusiasm for the creative space and freedom to build will resonate well with the interviewers.
