Full Stack Engineer (AI)

Tech Aalto Pte ltd; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Tech Aalto Pte ltd in Singapore is seeking a hands-on Full Stack Engineer (AI) to design, build, and maintain scalable software systems and AI-powered product experiences. The role emphasizes modern web development with robust AI workflows and production-grade applications.

You will collaborate across product and engineering teams, implement RAG-based workflows, testing pipelines, observability, guardrails, and reliable deployment practices to deliver production-ready AI solutions with strong

Qualifications

• Proven experience designing scalable, reliable software systems.
• Strong proficiency in React.js, TypeScript, and Node.js.
• Experience with AI workflows and LLM-powered systems.
• Experience building RAG and agent-based workflows.
• Familiarity with CI/CD and test automation.
• Excellent collaboration and communication skills.

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.

Skills

React.js

TypeScript

Node.js

browser architecture

LLM-powered workflows

RAG

Tool calling

Structured outputs

Agent-based workflows

Human-in-the-loop

evaluation pipelines

Golden datasets

Regression tests

Deterministic evaluators

LLM-as-a-judge

observability

monitoring

guardrails

fallbacks

validation

model quality

latency

reliability

maintainability

cost

automated testing

test automation frameworks

CI/CD pipelines

infrastructure concepts

agile engineering practices

software delivery workflows

troubleshooting

debugging

communication skills

Tools

Docker

Kubernetes

Cloud platforms

Containers

Testing frameworks

Job description

Full Stack Engineer (AI)

Experience: 3-5 Years

Role Overview

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 buildingscalable, reliable, and maintainablesoftware systems.
• Strong proficiency in modern web development technologies such asReact.js, TypeScript, and Node.js.
• Deep understanding ofbrowser architectureand frontend performance considerations.
• Experience buildingLLM-powered workflows, including:
  • Retrieval-Augmented Generation (RAG)
  • Tool calling
  • Structured outputs
  • Agent-based workflows
  • Human-in-the-loop patterns
• Experience creatingevaluation pipelinesusing:
  • Golden datasets
  • Regression tests
  • Deterministic evaluators
  • LLM-as-a-judge approaches
• Ability to implementobservability, monitoring, guardrails, fallbacks, and validationfor dependable AI systems.
• Strong judgment in balancingmodel quality, latency, reliability, maintainability, and cost.
• Hands-on experience withautomated testingacross unit, integration, and end-to-end layers.
• Familiarity withtest automation frameworks, CI/CD pipelines, and infrastructure concepts.
• Solid understanding ofagile engineering practicesand 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.

Soft Skills

• Strong ownership and accountability
• Collaborative mindset
• Problem-solving attitude
• Ability to work in fast-paced

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