AI Engineer

SURBANA JURONG SERVICES PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

SURBANA JURONG SERVICES PTE. LTD. is seeking an experienced software engineer to drive the design, build, and delivery of AI-enabled applications within our Central AI-Core Studio & Delivery team in Singapore.

You will own end-to-end development from requirements to production, focusing on reliable, scalable AI services. Responsibilities include integrating LLM APIs, vector databases, and retrieval-augmented generation; maintaining CI/CD pipelines, observability, and secure cloud deployment; and

Qualifications

• Production software shipping track record under real operating conditions.
• Strong Python, REST APIs, cloud deployment, and containerisation.
• Hands-on experience with LLM APIs and vector databases.
• Understanding of architecture, testing, and production ops.
• Familiarity with agentic orchestration frameworks and frontend skills is a plus.

Responsibilities

• Design and build end-to-end AI-powered applications.
• Own full SDLC from requirements to deployment.
• Integrate LLM APIs, vector DBs, and retrieval-augmented generation.
• Evaluate models and production performance.
• Own CI/CD, observability, and cloud deployment.
• Collaborate with business teams and AI PMs.

Skills

Python

REST APIs

Cloud deployment

Containerisation

LLM APIs

Retrieval/vector databases

Software architecture

Testing practices

Production operations

React

TypeScript

Tools

LangChain

LangGraph

AutoGen

OpenAI API

Anthropic API

Job description

As a part of the Central AI-Core Studio & Delivery team, this role would require you to drive the design, build, and production delivery of AI-enabled applications for our core business lines.

Key Responsibilities

• Design and build end-to-end AI-powered applications, including retrieval pipelines, LLM orchestration layers, backend APIs, and user-facing interfaces.
• Own the full software development lifecycle from requirements and architecture through testing, deployment, and post-launch iteration.
• Integrate LLM APIs, vector databases, and retrieval-augmented generation into production applications, applying agentic orchestration where needed.
• Evaluate AI models and retrieval approaches, defining evaluation criteria and iterating on production performance data.
• Own CI/CD pipelines, containerisation, observability, and secure cloud deployment, and document architectural decisions and trade-offs.
• Contribute reusable components and shared engineering standards to the AI platform.
• Work directly with business teams and AI PMs in a forward-deployed model, communicating progress and risks to technical and non-technical stakeholders.

About you

• A track record of shipping production software that people rely on - applications you've built, debugged, and improved under real operating conditions.
• Strong Python proficiency, with experience in REST APIs, cloud deployment, and containerisation.
• Hands‑on experience with LLM APIs (OpenAI, Anthropic, or equivalent) and retrieval/vector database systems.
• Solid understanding of software architecture, testing practices, and production operations.
• It will be advantageous if you have experience in agentic orchestration frameworks (LangChain, LangGraph, AutoGen) and frontend development with React and TypeScript.
• It will be advantageous if you are familiar with the Architecture, Engineering and Construction industry, infrastructure, or enterprise workflow domains, and AWS, Azure, or GCP environments.

We value equity, diversity and inclusion and are committed to creating a work environment where everyone feels a sense of belonging and is empowered to do their best. We recognise the importance of a diverse and inclusive workplace to drive innovation and shared learning across our growing global network.

Join us and be part of a culture where we rise together, deliver excellence, and expand what's possible.