At a Glance
- Tasks: Develop and ship full-stack features while collaborating with AI researchers.
- Company: Fastino, a cutting-edge tech company backed by top investors.
- Benefits: Competitive salary, remote work, and opportunities for professional growth.
- Other info: Dynamic environment with potential trips to Silicon Valley.
- Why this job: Join a mission-driven team and make an impact in the AI space.
- Qualifications: 3+ years of software engineering experience and strong Python skills.
Join us at Fastino as we build the next generation of LLMs. Our team, boasting alumni from Google Research, Apple, Stanford, and Cambridge is on a mission to develop specialized, efficient AI. Fastino's GLiNER family of open source models has been downloaded more than 5 million times and is used by companies such as NVIDIA, Meta, and Airbnb.
Fastino has raised $25M through our seed round and is backed by leading investors including Microsoft, Khosla Ventures, Insight Partners, Github CEO Thomas Dohmke, Docker CEO Scott Johnston, and others.
What you'll work on:
- Ship full-stack features end-to-end, owning the full lifecycle from conception to production with minimal oversight.
- Build and maintain the infrastructure powering Fastino's services, keeping systems reliable and performant as we scale.
- Work directly with AI researchers to bring new model capabilities into the product, moving fast without sacrificing quality.
- Translate user feedback into product improvements, closing the loop quickly between what customers experience and what gets shipped.
- Collaborate daily with the full team to review progress, surface blockers, and keep velocity high.
What We’re Looking For:
- Required: 3+ years of hands-on software engineering experience, with a track record of owning features from design to deployment.
- Required: Strong Python skills; comfort in TypeScript is a plus but not required.
- Required: You thrive in ambiguity and can balance speed and scalability without needing a playbook.
- Optional: Experience building or integrating with LLM-based systems or AI infrastructure.
- Optional: Familiarity with high-concurrency backend systems or low-latency API design.
Remote Software Engineer in Norfolk employer: fastino.ai
At Fastino, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to thrive. As a Remote Software Engineer, you'll enjoy the flexibility of working from anywhere in the UK while collaborating with top-tier talent from renowned institutions. With significant investment backing and a commitment to employee growth, we offer unique opportunities for professional development and the chance to contribute to cutting-edge AI technology.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Software Engineer in Norfolk
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Fastino or similar companies. Use LinkedIn to connect and engage with their posts – it’s a great way to get noticed!
✨Tip Number 2
Prepare for those interviews! Brush up on your Python skills and be ready to discuss your past projects in detail. We want to see how you’ve owned features from start to finish, so have some examples ready.
✨Tip Number 3
Show us your passion for AI! If you’ve worked with LLMs or have ideas about improving AI infrastructure, make sure to highlight that. We love candidates who are excited about the tech we’re building.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our team at Fastino.
We think you need these skills to ace Remote Software Engineer in Norfolk
Some tips for your application 🫡
Show Off Your Experience:Make sure to highlight your 3+ years of software engineering experience. We want to see how you've owned features from design to deployment, so don’t hold back on the details!
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid fluff and get straight to what makes you a great fit for the role.
Tailor Your Application:Take a moment to tailor your application to Fastino. Mention any relevant experience with Python or LLM-based systems, and show us how you can thrive in ambiguity—this is key for us!
Apply Through Our Website:We encourage you to apply 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 fastino.ai
✨Know Your Stuff
Make sure you brush up on your Python skills and any relevant technologies mentioned in the job description. Be ready to discuss your past projects and how you've owned features from design to deployment. This will show that you have the hands-on experience they’re looking for.
✨Show Your Problem-Solving Skills
Fastino values speed and scalability, so be prepared to tackle some technical challenges during the interview. Think out loud as you work through problems; this gives them insight into your thought process and how you handle ambiguity.
✨Understand Their Mission
Familiarise yourself with Fastino's GLiNER models and their impact in the AI space. Being able to discuss how your skills can contribute to their mission of developing efficient AI will set you apart from other candidates.
✨Ask Smart Questions
Prepare thoughtful questions about the team dynamics, the technology stack, and how they measure success. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
