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- Tasks: Build server-side software for AI inference stacks and influence architecture from day one.
- Company: Dynamic technology consultancy with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and shape the future of AI technology.
- Qualifications: Experience in Rust or another systems programming language and strong problem-solving skills.
- Other info: Work in a collaborative environment with excellent career advancement potential.
The predicted salary is between 36000 - 60000 £ per year.
A technology consultancy is seeking experienced Rust engineers to build server-side software for AI inference stacks. This role allows you to influence architecture and practices from day one.
Ideal candidates have backgrounds in computer science, problem-solving abilities, and proficiency in Rust or another systems programming language.
The company offers a hybrid work model, enabling three days in the office in London or Bristol and two days from home.
Senior Rust Engineer (Hybrid) — AI Inference Stack in Bristol employer: Fractile
Contact Detail:
Fractile Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Rust Engineer (Hybrid) — AI Inference Stack in Bristol
✨Tip Number 1
Network like a pro! Reach out to fellow Rust engineers or tech enthusiasts on LinkedIn. Join relevant groups and forums where you can share your expertise and learn from others. You never know who might have a lead on that perfect job!
✨Tip Number 2
Show off your skills! Create a GitHub profile showcasing your Rust projects or contributions to open-source software. This not only demonstrates your coding abilities but also gives potential employers a glimpse of your problem-solving skills in action.
✨Tip Number 3
Prepare for those interviews! Brush up on common Rust interview questions and be ready to discuss your past experiences with AI inference stacks. Practising with a friend or using mock interview platforms can really help you nail it.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented Rust engineers like you. Plus, applying directly can sometimes give you an edge over other candidates. So, what are you waiting for?
We think you need these skills to ace Senior Rust Engineer (Hybrid) — AI Inference Stack in Bristol
Some tips for your application 🫡
Show Off Your Rust Skills: Make sure to highlight your experience with Rust or any other systems programming languages in your application. We want to see how you've used these skills in real-world projects, so don’t hold back!
Problem-Solving Examples: Since we’re all about tackling challenges, include specific examples of how you’ve solved complex problems in your previous roles. This will help us understand your thought process and approach to engineering.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the job description. We love seeing candidates who take the extra step to align their experiences with what we’re looking for.
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’s super easy!
How to prepare for a job interview at Fractile
✨Know Your Rust Inside Out
Make sure you brush up on your Rust knowledge before the interview. Be prepared to discuss your experience with Rust and any projects you've worked on, especially those related to server-side software or AI inference stacks.
✨Showcase Your Problem-Solving Skills
Expect to face some technical challenges during the interview. Practice solving problems on platforms like LeetCode or HackerRank, focusing on algorithms and data structures that are relevant to systems programming.
✨Understand the Company’s Tech Stack
Do a bit of research on the technology consultancy's existing architecture and practices. Familiarise yourself with their approach to AI inference stacks and be ready to share your thoughts on how you could contribute to improving their systems.
✨Prepare for Hybrid Work Discussions
Since this role offers a hybrid work model, think about how you can effectively collaborate in both office and remote settings. Be ready to discuss your strategies for maintaining productivity and communication in a hybrid environment.
