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- Tasks: Design and build frameworks for rapid experimentation in AI systems.
- Company: Genesis AI, a forward-thinking tech company in Greater London.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on high code quality.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: Proficiency in Python, Go, or Rust and experience with internal tooling.
The predicted salary is between 60000 - 80000 £ per year.
Genesis AI is seeking a skilled software engineer in Greater London to design, build, and maintain frameworks that empower expert teams to rapidly experiment and develop systems.
Responsibilities include:
- Collaborating with diverse teams to validate use cases and ensure modularity.
- Identifying and addressing design flaws.
Candidates should have excellent software engineering skills in languages like Python, Go, or Rust and experience with internal tooling to accelerate AI workflows. The role promotes high code quality through reviews and documentation.
Platform Systems Engineer – Internal Tools & AI Research in London employer: Genesis AI
Contact Detail:
Genesis AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Platform Systems Engineer – Internal Tools & AI Research in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. 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 involving Python, Go, or Rust. This will give potential employers a taste of what you can do and how you tackle real-world problems.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding system design principles. Practice common algorithms and data structures, and be ready to discuss your thought process during problem-solving.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, it’s a great way to show your enthusiasm for joining our team at Genesis AI.
We think you need these skills to ace Platform Systems Engineer – Internal Tools & AI Research in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your software engineering skills, especially in Python, Go, or Rust. We want to see how you can design and build frameworks that make a difference!
Collaborate Like a Pro: Since this role involves working with diverse teams, share examples of how you've collaborated in the past. We love seeing teamwork in action, so let us know how you validated use cases together!
Quality Matters: Emphasise your commitment to high code quality. Talk about your experience with code reviews and documentation, as we value those practices at StudySmarter.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves.
How to prepare for a job interview at Genesis AI
✨Know Your Tech Stack
Make sure you’re well-versed in Python, Go, and Rust. Brush up on your coding skills and be ready to discuss how you've used these languages in past projects. We recommend preparing examples that showcase your ability to design and maintain frameworks.
✨Showcase Collaboration Skills
Since the role involves working with diverse teams, think of specific instances where you’ve collaborated effectively. We suggest preparing anecdotes that highlight your communication skills and how you’ve validated use cases with others.
✨Emphasise Code Quality
Be prepared to discuss your approach to maintaining high code quality. We advise you to talk about your experience with code reviews and documentation practices, as this will demonstrate your commitment to producing reliable software.
✨Prepare for Problem-Solving Questions
Expect questions that assess your ability to identify and address design flaws. We recommend practising problem-solving scenarios related to internal tooling and AI workflows, so you can confidently showcase your analytical skills during the interview.