AI Software Engineer (Python/LLM) - Financial Services

MICHAEL PAGE (PERSONNEL) PTE. LTD.

Singapore

On-site

SGD 90,000 - 150,000

Full time

4 days ago

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Job summary

MICHAEL PAGE (PERSONNEL) PTE. LTD. in Singapore seeks an AI Software Engineer to build full-stack applications and AI models that align with business goals. You will collaborate with cross-functional teams to deploy AI solutions and ensure scalable, secure systems in a financial services context.

The role requires a strong CS/ML background, proficiency in Python/Node.js/TypeScript, and at least 1 year of GenAI experience, with familiarity in AWS/Azure/GCP.

Qualifications

Strong background in computer science, machine learning or related field.
Proficiency in Python, Node.js or TypeScript.
Hands-on 1+ year experience with LLM/GenAI.
Familiarity with cloud platforms and deployment strategies (AWS/Azure/GCP).

Responsibilities

Build full-stack applications, APIs and services using Node.js/TypeScript, React and Python.
Design and develop AI models and algorithms to support business objectives.
Collaborate with cross-functional teams to integrate AI solutions into existing systems.
Optimize machine learning models for performance and scalability.
Conduct data analysis to identify trends and insights for decision-making.
Ensure the security and reliability of AI systems within the organisation.
Stay updated on emerging AI technologies and best practices in financial services.

Skills

Full-stack

Node.js

TypeScript

React

Python

GenAI/LLM

Cloud

Education

Computer Science background

Tools

AWS

Azure

GCP

Job description

Permanent role

Opportunity to have ownership of new projects from scratch

About Our Client

This organisation operates in the financial services sector and is located in Singapore.

Job Description

Build full-stack applications, APIs and services using Node.js/TypeScript, React and Python
Design and develop AI models and algorithms to support business objectives.
Collaborate with cross-functional teams to integrate AI solutions into existing systems.
Optimise machine learning models for performance and scalability.
Conduct data analysis to identify trends and insights for decision-making.
Ensure the security and reliability of AI systems within the organisation.
Stay updated on emerging AI technologies and best practices in financial services.

The Successful Applicant

A successful AI Software Engineer should have:

A strong background in computer science, machine learning or a related field.
Proficiency in programming languages such as Python , NodeJS or Typescript.
Experience with at least 1 year of hands‑on LLM/GenAI experience
Familiarity with cloud platforms and deployment strategies such as AWS, Azure or GCP.

What's on Offer