AI Software Engineer – Python/LLM for FinTech Apps

Michael Page Singapore

Singapore

On-site

SGD 120,000 - 180,000

Full time

3 days ago
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Benefits offered by this job

Annual bonus
Competitive salary

Job summary

Michael Page Singapore is seeking an AI Software Engineer to build full-stack applications and AI models using Node.js/TypeScript, React, and Python. You will collaborate with cross-functional teams to deploy GenAI solutions, optimise ML models for scale, and analyse data for strategic insights in the financial services sector.

The role requires a strong CS/ML background and 1+ year of hands-on GenAI/LLM experience, with familiarity across AWS/Azure/GCP cloud environments.

Qualifications

  • Strong background in computer science and machine learning.
  • Proficiency in Python, NodeJS or TypeScript.
  • Hands-on experience with LLM/GenAI (1+ year).
  • Experience with cloud platforms (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.
  • 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.

Skills

Python
NodeJS
TypeScript
React
LLM/GenAI
Cloud platforms

Education

Computer science
Machine learning

Job description

Michael Page Singapore is seeking an AI Software Engineer to build full-stack applications and AI models using Node.js/TypeScript, React, and Python. You will collaborate with cross-functional teams to deploy GenAI solutions, optimise ML models for scale, and analyse data for strategic insights in the financial services sector.

The role requires a strong CS/ML background and 1+ year of hands-on GenAI/LLM experience, with familiarity across AWS/Azure/GCP cloud environments.

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