Full Stack Software Engineer in London

Full Stack Software Engineer in London

London Full-Time 60000 - 80000 € / year (est.) No home office possible
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At a Glance

  • Tasks: Develop and maintain web applications, optimising document processing infrastructure.
  • Company: Join a forward-thinking tech company in Singapore with a hybrid work culture.
  • Benefits: Enjoy competitive salary, health benefits, and flexible working arrangements.
  • Other info: High autonomy and excellent career growth opportunities in a dynamic environment.
  • Why this job: Make a real impact by working on AI-driven projects that process millions of documents monthly.
  • Qualifications: 3+ years in full-stack development, proficient in Go or Java, and familiar with document processing.

The predicted salary is between 60000 - 80000 € per year.

Our Client is looking for a Full-stack Software Engineer (Go/Java, AI) to join their core engineering team in a full-time, hybrid role based in Singapore. In this role, you will be responsible for developing and maintaining web applications, working across both the front-end and back-end. You will play a critical role in building and optimizing a high-scale document processing infrastructure, ensuring performance, scalability, and reliability for systems translating millions of pages every month. You will collaborate with cross-functional AI, product, and infrastructure teams to ship high-impact features, from document ingestion to translation pipelines and formatting reconstruction.

Roles & Responsibilities

  • Backend Development: Develop and scale high-performance backend services in Go or Java that power millions of document translations each month.
  • AI-Driven Workflows: Design and optimize intelligent APIs and pipelines that handle document ingestion, translation, formatting, and version control in real time.
  • AI Engineering: Collaborate on building, fine-tuning, and deploying AI components that enhance translation quality, layout reconstruction, and multilingual document understanding.
  • Module Integration: Integrate and deploy translation and document processing modules across the platform.
  • Full-Stack Implementation: Implement front-end features and dashboards for administrative and client-side tools as needed.
  • System Architecture: Contribute to system design discussions and technical architecture reviews to ensure production-grade quality.
  • Efficiency: Use AI-assisted coding tools to accelerate delivery and maintain high code quality.

Requirements

  • Education: Bachelor’s degree in Computer Science or a related technical field.
  • Experience: 3+ years of experience in backend or full-stack development.
  • Technical Proficiency: Strong proficiency in Go or Java, plus familiarity with web frameworks and API design fundamentals.
  • Domain Knowledge: Mandatory experience with PDF, Microsoft Suite, images, or document processing systems.
  • Soft Skills: Excellent problem-solving abilities, learning agility, and self-direction; comfortable working in a fast-moving, remote-first environment.
  • Language Proficiency: Fluency in both English and Mandarin is required to facilitate technical discussions and effectively collaborate with Mandarin-speaking clients and regional stakeholders.
  • Communication: Basic English proficiency is required for technical documentation and communication.

Bonus (Nice to Have)

  • Prior exposure to AI, NLP, or text processing frameworks.
  • Experience supporting large-scale enterprise deployments.

Why This Role Is Different

  • Scale & Impact: You will work on a platform processing millions of pages monthly, requiring deep focus on performance and reliability.
  • End-to-End AI Integration: You won't just call APIs; you will help engineer and deploy AI applications that solve complex layout and translation problems.
  • High Autonomy: Enjoy ownership and visibility across the business while working in a flexible, hybrid environment.
  • Modern Tooling: Work in a forward-thinking culture that encourages the use of AI-assisted engineering tools to ship fast and stay ahead.

Full Stack Software Engineer in London employer: FNDR HEADHUNTING PTE. LTD.

Our Client is an exceptional employer, offering a dynamic and innovative work environment in Singapore that fosters collaboration and creativity. With a strong focus on employee growth, you will have the opportunity to work on cutting-edge AI-driven projects while enjoying the flexibility of a hybrid role. The company promotes a culture of autonomy and encourages the use of modern tools, ensuring that you can make a meaningful impact on high-scale document processing systems.

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Contact Detail:

FNDR HEADHUNTING PTE. LTD. Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Full Stack Software Engineer in London

Tip Number 1

Network like a pro! Reach out to your connections in the tech industry, especially those who work with AI or document processing. A friendly chat can lead to insider info about job openings that aren't even advertised yet.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving Go or Java. This is your chance to demonstrate your full-stack capabilities and how you’ve tackled real-world problems.

Tip Number 3

Prepare for interviews by brushing up on your problem-solving skills. Expect technical questions related to backend development and AI workflows. Practising coding challenges can really help you shine during the interview.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.

We think you need these skills to ace Full Stack Software Engineer in London

Go
Java
Web Development
API Design
AI Engineering
Document Processing
System Architecture

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience with Go or Java, especially in backend development. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re excited about this role and how your background in AI-driven workflows can contribute to our document processing infrastructure. Keep it engaging and personal!

Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled challenges in past projects. We love seeing candidates who can think critically and adapt quickly, especially in a fast-paced environment like ours.

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 any important updates from our team!

How to prepare for a job interview at FNDR HEADHUNTING PTE. LTD.

Know Your Tech Stack

Make sure you brush up on your Go and Java skills before the interview. Be ready to discuss your experience with backend development and how you've tackled challenges in building scalable applications. Having specific examples from your past work will show that you’re not just familiar with the tech, but you can also apply it effectively.

Showcase Your AI Knowledge

Since this role involves AI-driven workflows, be prepared to talk about any experience you have with AI, NLP, or document processing systems. If you’ve worked on projects that involved intelligent APIs or real-time data handling, share those stories! It’ll demonstrate your ability to contribute to their AI integration efforts.

Communicate Clearly

Fluency in both English and Mandarin is a must for this position. Practice explaining complex technical concepts in both languages. During the interview, make sure you articulate your thoughts clearly and concisely, especially when discussing your previous projects and how they relate to the role.

Prepare for System Design Questions

Expect to dive into system architecture discussions. Brush up on your knowledge of system design principles and be ready to discuss how you would approach building a high-scale document processing infrastructure. Think about performance, scalability, and reliability, and be prepared to share your insights on these topics.