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.
The predicted salary is between 76023 - 95029 £ 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.
Remote Software Engineer in Middlesbrough 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 prestigious backgrounds. With significant investment backing and a commitment to employee growth, we offer unique opportunities for professional development and the chance to contribute to groundbreaking AI technology.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Software Engineer in Middlesbrough
✨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 solid 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 can bring fresh insights to the table.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for talented individuals who are excited about building the future of AI.
We think you need these skills to ace Remote Software Engineer in Middlesbrough
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for AI and software engineering shine through. We want to see that you’re genuinely excited about the work we do at Fastino and how you can contribute to our mission.
Tailor Your CV:Make sure your CV highlights relevant experience that aligns with the job description. We love seeing specific examples of projects you've worked on, especially those that demonstrate your ability to own features from design to deployment.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re the perfect fit for this role. Share your thoughts on the future of AI and how your skills can help us build the next generation of LLMs. Keep it conversational and engaging!
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 don’t miss out on any important updates. Plus, it shows you’re keen to join our team!
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 experience with full-stack development and be ready to discuss specific projects where you owned features from design to deployment.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled ambiguity in past projects. Fastino values speed and scalability, so think of instances where you balanced these aspects effectively without a strict playbook.
✨Understand the Company’s 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 show your genuine interest in the role.
✨Be Ready for Collaboration Questions
Since collaboration is key at Fastino, prepare to discuss how you’ve worked with teams in the past. Think about how you’ve surfaced blockers and maintained high velocity in your previous roles, as this will resonate well with their team dynamics.
