AI-Driven Full-Stack Engineer

PERSOL Outsourcing; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

PERSOL Outsourcing is seeking a skilled full stack software engineer to design, build, and deliver scalable web applications across frontend and backend layers, APIs, and data models.

You will work with modern stacks (Node.js, Java, Python, React, Angular) and DBs, while applying secure coding practices, testing, and DevOps principles. Collaboration with AI-enabled development and cross-functional teams is expected.

Qualifications

• Diploma, Bachelor's or Master's degree in Computer Science, Computer Engineering, Information Technology, or a related field; relevant coding certifications are also welcome
• 2 to 6 years of professional experience building and delivering production web applications as a full stack developer
• Strong hands-on proficiency in at least one backend stack: Node.js (Express, NestJS), Golang, Python.
• Strong hands-on proficiency in at least one modern frontend framework: React (Next.js a plus), Angular, or Vue.js, with solid fundamentals in JavaScript/TypeScript, HTML5, and CSS/CSS3
• Solid understanding of API design (REST, JSON; GraphQL a plus), microservices, event-driven patterns, and integration with third-party systems
• Experience with SQL and NoSQL databases (e.g., Oracle, MS SQL Server, PostgreSQL, MySQL, MongoDB, Redis)
• Experience with Git-based source control, Agile delivery, test-driven development, and CI/CD toolchains
• Working experience with containers and cloud platforms (Docker, Kubernetes; AWS, Azure, or GCP)
• Demonstrated day-to-day use of AI-assisted coding tools (e.g., GitHub Copilot, Cursor, Claude Code, Amazon Q Developer, Gemini Code Assist, JetBrains AI Assistant, Tabnine, Windsurf, or equivalent) and ability to articulate how these tools have improved your delivery quality and speed
• Working knowledge of prompt engineering and how to structure effective context and instructions for AI coding assistants
• Familiarity with Large Language Models and Generative AI concepts - tokens, context windows, embeddings, vector search, and Retrieval-Augmented Generation (RAG)
• Exposure to at least one LLM / GenAI platform or SDK (OpenAI, Azure OpenAI, Anthropic Claude, Amazon Bedrock, Google Vertex AI / Gemini, Hugging Face)
• Involvement in at least one project that delivered an AI solution capability - such as a GenAI / LLM-powered application, RAG system, chatbot or virtual assistant, intelligent document processing, ML-powered feature, or AI agent - is a strong plus
• Exposure to AI application frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel), vector databases (e.g., Pinecone, Weaviate, pgvector, FAISS), agentic patterns, tool/function calling, Model Context Protocol (MCP), and AI evaluation or guardrail practices is a plus
• Awareness of responsible AI principles, data privacy, IP considerations, and security implications of using AI tools on client engagements

Responsibilities

• Design, develop, test, and deploy end-to-end web applications spanning frontend, backend services, APIs, and data layers
• Translate functional and non-functional requirements into well-architected, maintainable software components using established design patterns
• Build and maintain microservices and RESTful / GraphQL APIs using modern stacks such as Java/Spring Boot, .NET, Python, or Node.js
• Develop responsive, accessible user interfaces using modern JavaScript/TypeScript frameworks (e.g., React, Angular, Vue)
• Model data and work with both SQL and NoSQL databases; design efficient queries, schemas, and integration patterns
• Contribute to architecture discussions and trade-off analyses for performance, scalability, security, and cost
• Use AI-assisted coding tools (e.g., GitHub Copilot, Cursor, Claude Code, Amazon Q Developer, Gemini Code Assist, JetBrains AI Assistant, Tabnine, Windsurf, or equivalent) as a daily part of the development workflow
• Leverage AI tools to accelerate coding, refactoring, code review, unit test generation, test data creation, and documentation
• Apply prompt engineering and context-design techniques to get high-quality, trustworthy outputs from AI coding assistants
• Critically review AI-generated code for correctness, security, performance, licensing, and alignment with project and NCS coding standards before committing
• Measure and communicate the productivity and quality impact of AI-assisted workflows on project delivery
• Integrate AI and Generative AI capabilities into enterprise applications - including LLM-powered features, Retrieval-Augmented Generation (RAG), chatbots and virtual assistants, intelligent document processing, recommendations, and agentic workflows
• Build against foundation model APIs and managed AI services such as Azure OpenAI, Amazon Bedrock, Google Vertex AI / Gemini, Anthropic Claude, and OpenAI
• Work with vector databases and AI application frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel; pgvector, Pinecone, Weaviate, FAISS) to deliver context-aware experiences
• Design AI features with clear evaluation criteria, guardrails, and human-in-the-loop checkpoints
• Partner with data scientists, AI/ML engineers, and solution architects to take AI capabilities from prototype to production
• Contribute to pre-sales and client engagements by prototyping AI-enabled features and shaping practical, value-driven solution designs

Skills

Full stack development

API design

JavaScript/TypeScript

Microservices

SQL/NoSQL

Education

Diploma/Bachelor/Master in CS

Tools

Node.js

React

Angular

Docker

Kubernetes

Git

Job description

PERSOL Outsourcing is seeking a skilled full stack software engineer to design, build, and deliver scalable web applications across frontend and backend layers, APIs, and data models.

You will work with modern stacks (Node.js, Java, Python, React, Angular) and DBs, while applying secure coding practices, testing, and DevOps principles. Collaboration with AI-enabled development and cross-functional teams is expected.