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- Tasks: Build AI-powered APIs and backend services for innovative automation solutions.
- Company: Join UltreonAI, a cutting-edge AI Design Studio transforming Singaporean SMEs.
- Benefits: Flexible working hours, hybrid work model, and collaborative team environment.
- Other info: Dynamic team structure with excellent learning opportunities and career growth.
- Why this job: Make a real impact by developing scalable backends for exciting AI projects.
- Qualifications: Pursuing or recently graduated in Computer Science or related field; coding skills required.
The predicted salary is between 40000 - 50000 ÂŁ per year.
UltreonAI is an AI Design Studio specializing in custom Agentic AI solutions for Singaporean SMEs. We build production‑ready AI systems - intelligent automation platforms, RAG‑powered knowledge systems, and workflow orchestration tools that solve real business problems. As a Backend Developer, you'll be a core part of our engineering team, building the API infrastructure and business logic that powers these AI solutions. You'll work in a team to architect scalable backends that integrate with LLM pipelines, client data systems, and automation workflows. This is a hands‑on role where you'll ship real client projects from day one.
What You’ll Build:
- AI-Powered APIs: RESTful backends that serve AI agents responses, handle RAG retrieval, and manage LLM inference endpoints for client applications.
- Authentication & Access Control: Secure user authentication systems with JWT, session management, and role‑based permission for multi‑tenant client platforms.
- Workflow Integrations: Backend service that connects to automation workflows via webhooks, enabling seamless data flow between client systems and agents.
- Business Logic & Validation: Ability to implement complex validation rules and business logic layers. Familiarity with validation libraries (Zod, Yup, or similar) is expected.
- Async Workflows: Experience handling asynchronous operations—webhook processing, background jobs, event‑driven patterns, and managing long‑running tasks without blocking API responses.
AI & Integration Context (Critical for Our Work):
- Supporting AI Systems: Understanding of how backends interact with AI pipelines, including building endpoints that call LLM APIs (OpenAI, Anthropic) and handle streaming responses, integrating with vector databases for RAG architecture (Pinecone, Weaviate, or similar), and managing context preparation and prompt engineering via backend logic. You don't need to be an AI expert, but you should understand RAG conceptually and how backends feed data to LLMs.
- API Integration: Experience consuming third‑party APIs (REST/GraphQL) and handling webhooks. Comfortable reading API documentation and debugging integration issues.
Required Knowledge:
- Redis: Understanding of caching strategies, rate‑limiting patterns, and using Redis for session storage or job queues. Production experience is a plus, but willingness to learn is essential.
- Version Control: Proficient with Git/GitHub workflows—branching, pull requests, code reviews, and resolving merge conflicts.
- Linux Environment: Comfortable working in a Linux/Unix terminal for debugging, deployment, and server management tasks.
Good to Have:
- n8n Integration: Experience with workflow automation tools. We use n8n extensively, but if you understand webhooks and event‑driven systems, you'll pick this up quickly.
- Cloudflare Workers: Awareness of edge computing and serverless concepts. We deploy some services on Cloudflare Workers, but we'll teach you edge‑aware design patterns.
- Event‑Driven Systems: Experience with message queues (RabbitMQ, Bull) or event streaming (Kafka) for complex workflow orchestration.
- Performance Optimization: Ability to identify bottlenecks—slow queries, N+1 problems, inefficient caching. Understanding of API cost‑awareness (monitoring LLM API usage, cloud service costs).
Education & Background:
Currently pursuing or recently graduated with a Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field.
Application Details:
- Work Arrangement: This is a full‑time/part time hybrid working position with flexible working hours. Occasional in‑person collaboration in office as needed for key project milestones.
- Probation Period: 6‑month probation period to ensure mutual fit and alignment.
- Team Structure: You'll work in project‑based teams rather than siloed departments, collaborating closely with Frontend Developers, Data Engineers, and AI Engineers.
Join us to build the backend infrastructure that powers the next generation of business intelligence and Agentic AI for Singapore SMEs!
AI Backend Developer in London employer: PIXEL1 PTE. LTD.
Contact Detail:
PIXEL1 PTE. LTD. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Backend Developer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and backend development. This gives you a chance to demonstrate your expertise and passion for the field beyond just your CV.
✨Tip Number 3
Prepare for interviews by practising common technical questions and coding challenges. Use platforms like LeetCode or HackerRank to sharpen your skills. Remember, we want to see how you think and solve problems!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at UltreonAI.
We think you need these skills to ace AI Backend Developer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Backend Developer role. Highlight relevant experience, especially with APIs, backend logic, and any work with AI systems. We want to see how your skills align with what we do!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and backend development, and explain why you’re excited about working with us at UltreonAI. Be genuine and let your personality come through.
Showcase Your Projects: If you've worked on any projects that relate to the job description, make sure to mention them! Whether it's a personal project or something from your studies, we love seeing practical examples of your skills in action.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at PIXEL1 PTE. LTD.
✨Know Your Tech Stack
Make sure you’re familiar with the technologies mentioned in the job description, like RESTful APIs, Redis, and async workflows. Brush up on your knowledge of validation libraries like Zod or Yup, as well as how to handle webhooks and third-party API integrations.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex business logic or validation rules in your previous projects. Highlight your experience with performance optimisation and how you’ve identified and resolved bottlenecks in past roles.
✨Understand AI Integration
Even if you’re not an AI expert, having a solid grasp of how backends interact with AI pipelines is crucial. Be ready to explain concepts like RAG and how you would build endpoints that call LLM APIs. This shows you’re aligned with their mission of creating intelligent automation platforms.
✨Be Ready for Team Collaboration
Since you'll be working closely with Frontend Developers and Data Engineers, prepare to discuss your experience in collaborative environments. Share examples of how you’ve successfully worked in project-based teams and how you handle code reviews and version control with Git.