At a Glance
- Tasks: Develop and ship full-stack features while collaborating with AI researchers.
- Company: Fastino, a cutting-edge AI company backed by top investors.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic environment with potential trips to Silicon Valley.
- Why this job: Join a team of experts and make an impact in the AI space.
- Qualifications: 3+ years of software engineering experience and strong Python skills.
The predicted salary is between 60000 - 80000 £ per year.
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.
Software Engineer employer: fastino.ai
At Fastino, we pride ourselves on fostering a dynamic and innovative work culture that empowers our Software Engineers to take ownership of their projects while collaborating with top-tier talent from renowned institutions. With the flexibility of remote work in the UK and opportunities for travel to our Silicon Valley office, we offer a unique blend of professional growth, competitive compensation, and the chance to contribute to cutting-edge AI technology used by industry leaders. Join us to be part of a mission-driven team where your contributions directly impact the future of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer
✨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 by brushing up on your Python skills and understanding LLMs. We recommend doing mock interviews with friends or using platforms that simulate real interview scenarios.
✨Tip Number 3
Showcase your projects! If you’ve built anything relevant, make sure to have it ready to share. A GitHub profile with your work can really set you apart from the crowd.
✨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, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Software Engineer
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let us see your enthusiasm for AI and software engineering. Share any personal projects or experiences that highlight your interest in the field, especially if they relate to LLMs or AI infrastructure.
Tailor Your CV:Make sure your CV is tailored to the role. Highlight your experience with Python and any relevant projects you've worked on. We want to see how your skills align with what we're looking for, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for Fastino. Use it to explain how your background and skills make you a great match for our team. Be genuine and let your personality shine through!
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 gives you a chance to explore more about our company and culture!
How to prepare for a job interview at fastino.ai
✨Know Your Tech Stack
Make sure you’re well-versed in Python and have a good grasp of TypeScript, even if it’s not required. Brush up on your knowledge of full-stack development and be ready to discuss how you've owned features from design to deployment in your previous roles.
✨Showcase Your Problem-Solving Skills
Prepare examples that demonstrate how you've tackled ambiguity in past projects. Fastino values speed and scalability, so think of situations where you had to make quick decisions without a playbook and how you managed to deliver results.
✨Understand AI and LLMs
Familiarise yourself with the basics of large language models and AI infrastructure. Even if you don’t have direct experience, showing enthusiasm and a willingness to learn can set you apart. Mention any relevant projects or research you’ve done in this area.
✨Be Ready to Collaborate
Fastino emphasises teamwork, so be prepared to discuss how you’ve collaborated with others in the past. Think about how you’ve communicated progress, addressed blockers, and maintained high velocity in your projects. Highlight your ability to work closely with AI researchers or cross-functional teams.
