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- Tasks: Design and maintain scalable services in Go for a cutting-edge AI startup.
- Company: Join Few&Far, an innovative AI startup focused on custom LLMs for financial services.
- Benefits: Enjoy a competitive salary, equity options, and hybrid work flexibility.
- Why this job: Be part of a small team making a big impact in the AI space with high ownership.
- Qualifications: 3-5 years experience in backend development with strong Go programming skills required.
- Other info: Opportunity to contribute to open-source projects and work closely with AI experts.
The predicted salary is between 64000 - 88000 ÂŁ per year.
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This range is provided by Few&Far. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
SEED stage AI startup; Custom LLMs for Financial Services
Package: ÂŁ80k – ÂŁ100k base salary + a chunk of equity + benefits
Hybrid in London (1 day a week / ad-hoc visits)
We’re looking for a Mid-Level Backend Go Engineer to join an AI startup about to raise £10M in new funding
The product is a Generative AI company pioneering the development of customizable, privacy-preserving AI solutions; custom LLMs tailored to integrate seamlessly into enterprise applications, particularly within the financial sector.
A company of 10, the Co-Founders have PhDs in the AI/ML field & are looking for their 4th Backend Engineer to keep up with client demand for Product Development
What You’ll Do
- Design, develop, and maintain performant services in Go, playing a key role in designing and building real-time, distributed systems that scale effortlessly and perform reliably under high load.
- Collaborate with Founders and the Frontend Engineering team to define, design, and ship new features
- Ensure systems are scalable, resilient, and secure
- Work with cloud infrastructure, containerisation (Docker, Kubernetes), and CI/CD pipelines
- Take part in code reviews, architecture discussions, and performance tuning
What We’re Looking For
- A Bachelor’s degree (or higher) in Computer Science or a closely related field
- 3-5 years experience building scalable, high-performance, real-time applications in a startup environment
- Strong programming skills in Go (Golang)
- Great understanding of distributed systems , microservices architecture , and event-driven design
- Experience working with cloud platforms
- Familiarity with monitoring, logging, and observability tools
Bonus Points For
- Contributions to open-source projects
- Contributions to an AI product
If scalability, security, databases and performance is your thing, looking for high ownership and impact, this role is for you!
Please apply with an up to date CV and we will be in touch with next steps
Seniority level
-
Seniority level
Mid-Senior level
Employment type
-
Employment type
Full-time
Job function
-
Job function
Engineering and Information Technology
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Industries
Information Services, Software Development, and Financial Services
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Backend Engineer (Go) - Break into AI employer: Few&Far
Contact Detail:
Few&Far Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Backend Engineer (Go) - Break into AI
✨Tip Number 1
Familiarise yourself with the latest trends in AI and how they apply to backend development. Understanding the specific challenges and innovations in the AI space, especially regarding custom LLMs, will help you stand out during discussions.
✨Tip Number 2
Engage with the Go programming community by contributing to open-source projects or forums. This not only showcases your skills but also demonstrates your commitment to continuous learning and collaboration, which is highly valued in a startup environment.
✨Tip Number 3
Prepare to discuss your experience with distributed systems and microservices architecture in detail. Be ready to share specific examples of how you've tackled scalability and performance issues in past projects, as this will resonate well with the founders.
✨Tip Number 4
Network with professionals in the AI and financial services sectors. Attend relevant meetups or webinars to connect with potential colleagues and gain insights into the industry, which can give you an edge in interviews.
We think you need these skills to ace Backend Engineer (Go) - Break into AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Go and any relevant projects you've worked on, especially those involving scalable, high-performance applications. Mention specific technologies like Docker, Kubernetes, and cloud platforms to align with the job requirements.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how your skills can contribute to the company's mission. Discuss your experience in building distributed systems and your understanding of microservices architecture, as these are key aspects of the role.
Showcase Relevant Projects: If you have contributed to open-source projects or developed AI products, make sure to include these in your application. Highlighting your hands-on experience will demonstrate your capability and enthusiasm for the role.
Proofread and Edit: Before submitting your application, take the time to proofread your documents. Check for any spelling or grammatical errors, and ensure that your formatting is consistent. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Few&Far
✨Showcase Your Go Skills
Make sure to highlight your experience with Go during the interview. Be prepared to discuss specific projects where you've used Go to build scalable applications, and consider sharing code snippets or examples that demonstrate your proficiency.
✨Understand Distributed Systems
Since the role involves designing real-time, distributed systems, brush up on your knowledge of microservices architecture and event-driven design. Be ready to explain how you've implemented these concepts in past projects.
✨Familiarise Yourself with Cloud Infrastructure
The company works with cloud platforms, so it's essential to understand how to deploy and manage applications in a cloud environment. Be prepared to discuss your experience with tools like Docker, Kubernetes, and CI/CD pipelines.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's AI products and their approach to scalability and security. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.
