Full Stack Engineer (AI)

EAMES CONSULTING GROUP (SINGAPORE) PTE. LTD.; Singapore; Sur place; SGD 120 000 - 200 000; Plein temps

Résumé du poste

EAMES CONSULTING GROUP (SINGAPORE) PTE. LTD. is seeking an experienced full stack engineer to design, build and deploy AI-enabled business applications for a regulated banking environment in Singapore.

You will own end-to-end delivery from concept to production, collaborating with business and operations to automate processes and ensure governance. You will work across back-end (C#/.NET, Python or Java) and front-end (React/Angular) stacks, integrating LLMs responsibly while aligning with data

Qualifications

• 8 years of solid full stack experience with a back-end language (C#/.NET, Python or Java) and a modern front end (React, Angular or similar).
• Hands-on experience building with AI or LLMs in real environments, not just PoCs.
• Exposure to AI governance, responsible AI or model risk in practice.

Responsabilités

• Design, build and maintain full stack applications and internal tools that automate manual processes across the bank.
• Deliver AI-enabled features, from LLM integration and retrieval to copilots and intelligent workflow.
• Help shape how AI is used safely, including model risk, data privacy, testing and documentation for audits.

Connaissances

Full stack

C#/.NET

Python

Java

React/Angular

AI/LLMs

Azure Cloud

SQL

APIs

Banking experience

Outils

Azure Cloud

REST APIs

SQL

Description du poste

We are partnered with an established organisation that is building out its Singapore technology team as it heads into a year focused on automation and AI. This is a hands‑on engineering role for someone who can build and ship business applications end to end and bring AI into them responsibly. You will work closely with business and operations teams to find where automation and AI can make a real difference, then design, build and support those solutions in a regulated environment.

Key responsibilities

• Design, build and maintain full stack applications and internal tools that automate manual processes across the bank
• Deliver AI-enabled features, from LLM integration and retrieval (RAG) through to copilots and intelligent workflow
• Help shape how AI is used safely, including model risk, data privacy, testing and documentation that stand up to audit and regulatory review
• Integrate new solutions with core banking and data platforms through APIs
• Partner with business stakeholders to turn requirements into working, supportable products

Requirements

• 8 years of Solid full stack experience: a back-end language (C#/.NET, Python or Java) plus a modern front end (React, Angular or similar)
• Hands-on experience building with AI or LLMs in a real environment, not only proofs of concept
• Exposure to AI governance, responsible AI or model risk in practice
• Cloud experience, ideally Microsoft Azure, and working knowledge of SQL databases and APIs
• Experience in banking or financial services; capital markets or treasury exposure is a plus
• Comfortable working in a small team where you own work from idea to production