Senior AI Engineer & Solutions Architect — Banking AI

Green Link Digital Bank Pte. Ltd.; Santo Niño 1st; On-site; PHP 600,000 - 1,200,000; Full time

Job summary

Green Link Digital Bank Pte. Ltd. is seeking an AI Engineer to join our growing AI team in developing AI-enabled banking solutions. You will work across machine learning, Generative AI, and LLMs to prototype and deliver production applications, collaborating with data, risk and business units.

Candidates may be junior or senior, with senior onboarding involving architecture reviews, mentoring, and ownership of complex AI implementations while ensuring responsible AI practices and data security.

Qualifications

• Bachelor's degree in CS/AI/DS or equivalent practical experience.
• Strong Python programming fundamentals.
• Familiarity with ML concepts and AI fundamentals.
• Experience with ML/DL, Generative AI/LLMs, APIs or cloud apps.

Responsibilities

• Develop AI-enabled applications with ML, Generative AI, LLMs and AI agents.
• Build prototypes/production apps by integrating AI models, APIs, databases and systems.
• Evaluate models, tools and techniques for business use cases.
• Develop/train/finetune AI models where appropriate.
• Prepare data with data engineers for AI applications.
• Support deployment, testing, monitoring and improvement of AI apps.
• Ensure responsible AI with privacy, security, and explainability.
• Collaborate with tech, data, risk and business teams to translate problems into AI solutions.
• Maintain clear technical documentation for solutions.
• Keep learning and experimenting with new AI technologies for the Bank.

Skills

Python

ML concepts

Good communication

Problem solving

Education

Bachelor's degree in Computer Science / AI / Data Science

Tools

PyTorch

TensorFlow

Hugging Face

LangChain

Docker

Job description

Green Link Digital Bank Pte. Ltd. is seeking an AI Engineer to join our growing AI team in developing AI-enabled banking solutions. You will work across machine learning, Generative AI, and LLMs to prototype and deliver production applications, collaborating with data, risk and business units.

Candidates may be junior or senior, with senior onboarding involving architecture reviews, mentoring, and ownership of complex AI implementations while ensuring responsible AI practices and data security.