ML Engineer: AI Agents & LLMs for Wealth Tech

Julius Baer; Singapore; On-site; SGD 110,000 - 170,000; Full time

Job summary

Julius Baer in Singapore seeks a skilled machine learning engineer to design, build, and deploy robust AI solutions within a DevOps-driven environment. You will contribute across the full lifecycle and work closely with cross-functional teams to deliver high-quality digital solutions.

You will design multi-agent systems, integrate LLMs, implement RAG-grounding, and continuously optimize models and prompts for production reliability.

Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field.
• Strong programming skills in Python with experience in ML libraries and deep learning frameworks such as TensorFlow or PyTorch.
• Proven experience working with Large Language Models (LLMs).
• Good understanding of AI agents & agentic workflows, LLM orchestration frameworks and reasoning patterns.

Responsibilities

• Develop, deploy, and optimize machine learning and AI solutions that address complex business challenges.
• Create multi‑agent systems and equip AI models with function/tool‑calling capabilities.
• Design and implement RAG systems to ground AI responses in enterprise data.
• Assess and integrate AI models (e.g. LLMs) ensuring optimal performance and reliability.
• Optimize agentic workflows and AI agents for production use cases.
• Testing and optimizing system prompts and few‑shot example to ensure accurate, consistent, and safe AI outputs.
• Performance evaluation of machine learning and AI models using appropriate metrics, evaluation sets and techniques, and continuously iterate and improve upon them.
• Collaborate with platform teams, data engineers, data scientists, and other stakeholders to integrate machine learning solutions into existing systems and processes.
• Participate in code reviews, testing, and debugging to ensure the quality and reliability of machine learning solutions.

Skills

Python programming

TensorFlow

PyTorch

LLMs

AI agents

Data preprocessing

Model evaluation

DevOps

Cross-functional collaboration

Problem solving

Education

Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics

Tools

LLM orchestration frameworks

Version control

Testing & debugging

Prompt engineering

Job description

Julius Baer in Singapore seeks a skilled machine learning engineer to design, build, and deploy robust AI solutions within a DevOps-driven environment. You will contribute across the full lifecycle and work closely with cross-functional teams to deliver high-quality digital solutions.

You will design multi-agent systems, integrate LLMs, implement RAG-grounding, and continuously optimize models and prompts for production reliability.