AI Agent Engineer

Windsor Consulting Pte Ltd; Singapore; Hybrid; SGD 120,000 - 180,000; Full time

Job summary

Windsor Consulting Pte Ltd seeks an AI Agent Engineer in Singapore to design and deliver production-grade conversational AI agents used by residents and property teams. You will own features end-to-end, from prompt design to tool calling and vector search, tying into Java backend services and management dashboards.

The role requires shipping LLM features for real users, strong backend fundamentals, and the ability to work in a distributed team with a hybrid work setup in Singapore.

Qualifications

• 4+ years of software engineering experience with real deployments.
• Shipped LLM features including tool calling and retrieval augmentation.
• Proficient in Java and backend API design.
• Experience with agent frameworks and vector search.

Responsibilities

• Design and deliver conversational AI agents used by residents and property teams.
• Own features end-to-end across prompt design, tool calling, retrieval and flow.
• Integrate with Java backend services and dashboards that support agents.
• Collaborate with product and operations teams in a distributed setup.

Skills

LLM features

Tool calling

RAG integration

Agent framework

Vector search

API design

Relational databases

Production systems

Java

Tools

Spring Boot

Job description

Our client, the AI arm of a leading Real Estate Group is among the first to put AI agents into live property operations. Its platform is already in live use across a large residential portfolio, drawing on years of proprietary operational data that few competitors could replicate. The business is now seeking an AI Agent Engineer to join its core team in Singapore. This is AI doing real work in production. Join the pioneering team to have a visible impact on the product from the outset.

This is a friendly, welcoming and down-to-earth team that values collaboration, with a hybrid working arrangement.

Responsibilities

At the centre of this role is the design and delivery of conversational AI agents that residents and property teams rely on every day. You will own features end to end, working across prompt design, tool calling, retrieval and conversational flow, through to the Java backend services and the dashboard that support them. The platform is expanding from its current feature set to something considerably broader, and you will play a real part in how it grows. The role carries genuine autonomy, close working relationships with product and operations colleagues, and a team that treats modern AI coding tools as part of everyday engineering.

Requirements

This will suit an engineer with around four or more years of software engineering experience who has shipped LLM features to real users, including tool calling and retrieval-augmented generation, rather than prototypes or internal demos. You bring solid experience with at least one agent framework and with vector search, and you understand what breaks when AI runs in production and how to put it right. Strong backend fundamentals are essential, covering API design, relational databases and running production systems, and you are comfortable working in Java daily, as the platform and its agents are built on it. Experience with Spring Boot is an advantage, though strong Java engineers will pick it up quickly. Above all, you take ownership, can turn a product requirement into a working feature without close supervision, and communicate clearly with a distributed team to see it through.