AI Engineer
At a glance
Mid-level AI Engineering role at Surbanajurong. Singapore · full-time.
Pay not stated AI Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build AI applications from retrieval pipelines and LLM orchestration through backend services and user interfaces
- Take software from requirements and system design through testing, launch and improvements after release
- Connect language models and vector databases to production retrieval workflows, using agent-based coordination when needed
- Assess model and retrieval quality, then use production results to improve performance
- Maintain deployment pipelines, containers, monitoring and cloud security while sharing reusable components and engineering standards
What you bring
- You have shipped, debugged and improved software used in real operating conditions
- Strong Python skills, with experience building REST APIs, deploying to cloud environments and using containers
- Practical experience with LLM APIs and retrieval or vector database systems
- You understand software architecture, testing methods and operating production systems
Who this fits
This mid-level role suits an engineer who can deliver AI applications end to end and work directly with business teams and AI product managers. You’ll need to communicate progress and risks to both technical and non-technical stakeholders.
From the employer
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.
At Surbana Jurong, we put talent, hard work, teamwork and a fun workplace together to approach problems and solve them creatively and collaboratively. Join us in making a positive impact on the world!