AI Backend Developer

AI Backend Developer

Full-Time 40000 - 50000 ÂŁ / year (est.) Home office (partial)
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At a Glance

  • 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 hybrid work, competitive pay, and opportunities for professional growth.
  • Other info: Collaborative team environment with hands-on experience from day one.
  • Why this job: Make a real impact by developing scalable backends that power intelligent AI systems.
  • 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 employer: PIXEL1 PTE. LTD.

At UltreonAI, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As an AI Design Studio located in Singapore, we offer flexible working arrangements and a supportive environment where you can grow your skills while working on impactful projects from day one. Join our dynamic team to not only advance your career but also contribute to cutting-edge AI solutions that empower local SMEs.
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Contact Detail:

PIXEL1 PTE. LTD. Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI Backend Developer

✨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. Having tangible examples of your work can really set you apart when chatting with hiring managers.

✨Tip Number 3

Prepare for interviews by brushing up on common backend development questions and coding challenges. Practice makes perfect, so consider mock interviews with friends or use online platforms to get comfortable.

✨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 genuinely interested in joining our team!

We think you need these skills to ace AI Backend Developer

API Development
RESTful Services
JWT Authentication
Asynchronous Programming
LLM Integration
Vector Databases
Redis Caching
Git/GitHub Workflows
Linux/Unix Proficiency
Webhook Handling
Event-Driven Architecture
Performance Optimisation
Business Logic Implementation
Validation Libraries (Zod, Yup)
Cloudflare Workers Awareness

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights the skills and experiences that align with the AI Backend Developer role. We want to see how your background fits into building scalable backends and working with APIs, so don’t hold back on showcasing relevant projects!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about working with us at UltreonAI and how your experience can contribute to our mission. Keep it concise but impactful—show us your passion for AI and backend development!

Showcase Your Projects: If you've worked on any relevant projects, whether personal or professional, make sure to mention them in your application. We love seeing real examples of your work, especially if they involve API integrations or asynchronous workflows. It gives us a taste of what you can bring to the team!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to the right people. Plus, it shows us you’re serious about joining our team at UltreonAI. Don’t miss out on this opportunity!

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, JWT for authentication, and Redis for caching. Brush up on your knowledge of validation libraries like Zod or Yup, as well as async workflows. Being able to discuss these confidently will show that you're ready to hit the ground running.

✨Understand AI Integration

Even if you’re not an AI expert, having a solid grasp of how backends interact with AI pipelines is crucial. Familiarise yourself with concepts like RAG and how to manage LLM inference endpoints. This understanding will help you answer questions about how you can contribute to building AI-powered solutions.

✨Showcase Your Problem-Solving Skills

Prepare to discuss past projects where you tackled complex business logic or validation rules. Be ready to explain your thought process and how you approached challenges, especially in relation to API integrations and asynchronous operations. This will demonstrate your hands-on experience and problem-solving abilities.

✨Ask Insightful Questions

Interviews are a two-way street! Prepare thoughtful questions about the team structure, project milestones, and how they approach collaboration. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values.

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