Ai Engineer

TECHCOM SOLUTIONS (SINGAPORE) PTE. LTD.

Singapore

On-site

SGD 120,000 - 180,000

Full time

13 days ago

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Job summary

TECHCOM SOLUTIONS (SINGAPORE) PTE. LTD. seeks a senior AI/financial services expert to drive end-to-end AI-enabled business solutions in the Capital Markets domain.

You will combine domain knowledge with hands-on work on Agentic AI platforms and frameworks (DIFY, Google ADK, LangStack), and lead data engineering and ETL initiatives. Strong collaboration with senior business leaders and stakeholders to shape strategy, implement DevOps and CI/CD pipelines, and deploy containerized environments

Qualifications

  • Strong expertise in Capital Markets / Financial Markets domain.
  • Hands-on experience with Agentic AI platforms and frameworks (DIFY, Google ADK, LangStack, Prompt Engineering, Data Engineering, ETL).
  • Experience building end-to-end AI-enabled business solutions.
  • Knowledge of DevOps, CI/CD, and containerized environments such as Docker, Kubernetes, OpenShift, AWS, or similar.
  • Strong stakeholder management skills with the ability to engage and influence senior business leaders.

Skills

Capital Markets
Agentic AI platforms
End-to-end AI-enabled solutions
DevOps/CI-CD
Containerized environments
Stakeholder management

Education

Master's Degree in Finance/Quantitative Finance/CS/IT/MBA (Finance)
CFA/FRM/IOC/ICFA or similar certifications

Tools

Docker
Kubernetes
OpenShift
AWS

Job description

  • Strong expertise in Capital Markets / Financial Markets domain.
  • Hands-on experience with Agentic AI platforms and frameworks (DIFY, Google ADK, LangStack, Prompt Engineering, Data Engineering, ETL).
  • Experience building end-to-end AI-enabled business solutions.
  • Knowledge of DevOps, CI/CD, and containerized environments such as Docker, Kubernetes, OpenShift, AWS, or similar.
  • Strong stakeholder management skills with the ability to engage and influence senior business leaders.

Preferred Qualifications

  • CFA, FRM, IOC, ICFA, or similar certifications.
  • Master's Degree in Finance, Quantitative Finance, Computer Science, IT, or MBA (Finance).
  • Strong understanding of Capital Markets businessprocesses and supporting technology platforms
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