Production Engineer - Agentic AI Deployments for Finance

A*STAR RESEARCH ENTITIES

Singapore

On-site

SGD 120,000 - 180,000

Full time

4 days ago
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Job summary

A*STAR Institute of Advanced Intelligence and Computing (IAIC) in Singapore is seeking an Engineer to operationalize agentic AI and autonomous systems for financial environments. You will build, deploy, and maintain production-grade AI solutions with strong emphasis on reliability, security, and observability.

Collaborating with AI scientists and industry partners, you will translate research prototypes into scalable deployments, design robust pipelines, and implement monitoring, alerting, and

Qualifications

  • Bachelor's or Master's degree in Computer Science, Software Engineering, AI/ML, or related field.
  • Strong hands-on experience in Python and PyTorch.
  • Experience deploying LLM-based or AI systems into production environments.
  • Experience with MLOps pipelines, model monitoring, and observability tools.
  • Solid understanding of software engineering best practices (version control, CI/CD, testing, code reviews).
  • Familiarity with cloud platforms (e.g., AWS, Azure).
  • Knowledge of data security, privacy, and compliance requirements (especially in financial services).
  • Familiarity with financial data pipelines, structured data systems, or regulatory workflows.

Responsibilities

  • Collaborate with AI Scientists to translate research prototypes into scalable production systems.
  • Maintain deployment pipelines for agentic AI and LLM-based solutions.
  • Optimize system performance, latency, reliability, and cost efficiency.
  • Implement monitoring, logging, evaluation, and alerting mechanisms for deployed AI systems.
  • Ensure compliance with enterprise-grade security, privacy, and governance standards.
  • Support testing, validation, and user acceptance processes with industry partners.
  • Contribute to documentation, system architecture design, and deployment best practices.

Skills

Python
PyTorch
LLM deployment
MLOps
Model monitoring
Observability
Version control
CI/CD
Testing
Code reviews
AWS
Azure
Data security
Financial data pipelines

Education

Bachelor's or Master's degree in Computer Science, Software Engineering, AI/ML, or related field

Tools

AWS
Azure

Job description

A*STAR Institute of Advanced Intelligence and Computing (IAIC) in Singapore is seeking an Engineer to operationalize agentic AI and autonomous systems for financial environments. You will build, deploy, and maintain production-grade AI solutions with strong emphasis on reliability, security, and observability.

Collaborating with AI scientists and industry partners, you will translate research prototypes into scalable deployments, design robust pipelines, and implement monitoring, alerting, and

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