Production Deployment Engineer - Agentic AI for Finance

A*STAR - Agency for Science, Technology and Research; Singapore; On-site; SGD 65,000 - 85,000; Full time

Job summary

A*STAR - Agency for Science, Technology and Research in Singapore is looking for an Engineer to operationalize and deploy agentic AI solutions in financial services. The ideal candidate has a Bachelor’s or Master’s in Computer Science or related fields, strong experience in Python and modern ML frameworks, and familiarity with MLOps and cloud platforms. The role involves translating research innovations into production systems and ensuring compliance with security standards. This position is crucial for enhancing AI capabilities in real-world financial applications.

Qualifications

• Strong hands-on experience in Python and modern ML frameworks.
• Experience deploying LLM-based or AI systems into production.
• Solid understanding of software engineering best practices.

Responsibilities

• Collaborate with AI Scientists to translate research prototypes into scalable production systems.
• Maintain deployment pipelines for agentic AI and LLM-based solutions.
• Implement monitoring, logging, evaluation, and alerting mechanisms for deployed AI systems.

Skills

Python

MLOps

AI/ML frameworks (e.g., PyTorch)

Cloud platforms (e.g., AWS, Azure)

Education

Bachelor’s or Master’s degree in Computer Science, Software Engineering, AI/ML

Tools

Version Control

CI/CD

Job description

A*STAR - Agency for Science, Technology and Research in Singapore is looking for an Engineer to operationalize and deploy agentic AI solutions in financial services. The ideal candidate has a Bachelor’s or Master’s in Computer Science or related fields, strong experience in Python and modern ML frameworks, and familiarity with MLOps and cloud platforms. The role involves translating research innovations into production systems and ensuring compliance with security standards. This position is crucial for enhancing AI capabilities in real-world financial applications.