Full Stack Engineer (AI)

Tech Aalto; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Tech Aalto is seeking a hands-on Full Stack Engineer (AI) to design, build, and maintain scalable software systems and AI-powered product experiences. You will work across modern full stack technologies and craft reliable AI workflows, testing systems, and production-grade applications.

You will balance software excellence, AI system design, quality engineering, and clear communication across technical and non-technical teams, delivering scalable, observable, and cost-efficient solutions.

Qualifications

• Design and build scalable, reliable, and maintainable software systems.
• Strong proficiency in React.js, TypeScript, and Node.js.
• Experience with AI workflows, RAG, and LLM-powered features.
• Familiar with test automation and CI/CD pipelines.
• Ability to balance model quality, latency, and cost.

Responsibilities

• Design and develop full stack applications focusing on scalability and performance.
• Integrate AI/LLM features into production systems.
• Develop robust RAG and agent-based workflows for intelligent experiences.
• Create and maintain evaluation frameworks for AI system quality.
• Implement monitoring, guardrails, and fallbacks for safe AI behavior.
• Write clean, testable code and contribute to automated testing and CI/CD improvements.
• Collaborate with product, design, and engineering teams to deliver high-quality solutions.
• Debug production and development issues and provide root-cause analyses.
• Maintain technical documentation and support knowledge sharing.

Skills

Scalability mindset

Quality engineering

Agile practices

Troubleshooting

Communication

Tools

React.js

TypeScript

Node.js

CI/CD

Testing frameworks

Observability

Monitoring

Job description

We are looking for a talented and hands-on Full Stack Engineer (AI) to design, build, and maintain scalable software systems and AI-powered product experiences. The ideal candidate will have strong experience across modern full stack development, with a solid understanding of building reliable AI workflows, testing systems, and production-grade applications.

This role requires a balance of software engineering excellence, AI system design, quality engineering, and strong communication skills to collaborate effectively across technical and non-technical teams.

What We’re Looking For

• Proven experience in designing and building scalable, reliable, and maintainable software systems.
• Strong proficiency in modern web development technologies such as React.js, TypeScript, and Node.js.
• Experience building LLM-powered workflows, including:
• Retrieval-Augmented Generation (RAG)
• Structured outputs
• Agent-based workflows
• Human-in-the-loop patterns
• Experience creating evaluation pipelines using:
• Regression tests
• Deterministic evaluators
• LLM-as-a-judge approaches
• Ability to implement observability, monitoring, guardrails, fallbacks, and validation for dependable AI systems.
• Strong judgment in balancing model quality, latency, reliability, maintainability, and cost.
• Hands-on experience with automated testing across unit, integration, and end-to-end layers.
• Familiarity with test automation frameworks, CI/CD pipelines, and infrastructure concepts.
• Solid understanding of agile engineering practices and software delivery workflows.
• Strong troubleshooting and debugging skills, with the ability to analyze complex system behavior, logs, and root causes.
• Excellent communication skills with the ability to explain technical trade-offs, risks, and quality standards to diverse stakeholders.

Key Responsibilities

• Design and develop full stack applications with a focus on scalability, performance, and maintainability.
• Build and integrate AI/LLM features into production systems.
• Develop robust RAG and agent-based workflows to support intelligent product experiences.
• Create and maintain evaluation frameworks to measure AI system quality and stability.
• Implement monitoring, guardrails, and fallback mechanisms to ensure safe and reliable AI behavior.
• Write clean, testable code and contribute to automated testing and CI/CD improvements.
• Collaborate with product managers, designers, engineers, and other stakeholders to deliver high-quality solutions.
• Debug production and development issues efficiently and provide root cause analysis.
• Maintain technical documentation and support knowledge sharing across teams.

Preferred Qualifications

• Experience shipping AI-driven products in production environments.
• Exposure to cloud platforms, containers, and modern deployment practices.
• Familiarity with prompt engineering, model selection, and AI system evaluation.
• Experience working in cross-functional, agile teams.

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.