Senior Full Stack Engineer (AI)

Eames Consulting; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Eames Consulting partners with a prominent organisation in Singapore to build out a technology team focused on automation and AI. This hands-on role requires delivering end-to-end business applications, integrating AI responsibly and aligning with regulatory standards.

You will design, build and support AI-enabled features, collaborate with operations teams, and own solutions from concept to production within a regulated banking environment.

Qualifications

• 8+ years of solid full stack experience with backend + frontend.
• Hands-on AI/LLM experience in production environments.
• Experience with AI governance or model risk in practice.
• Cloud experience, preferably Microsoft Azure; SQL and API knowledge.
• Banking or financial services exposure is a plus.
• Ability to own work from idea to production in a small team.

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

Skills

Full stack development

AI/LLM integration

AI governance

Cloud computing (Azure)

Banking industry experience

API integration

Team ownership

Tools

C#/.NET

Python/Java

React/Angular

SQL

Azure

Job description

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