Senior AI Engineer: Enterprise AI & API Integrations

R Systems

Kuala Lumpur

On-site

MYR 150,000 - 230,000

Full time

3 days ago
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Job summary

R Systems seeks a Senior AI Engineer to support deployment and integration of AI and GenAI solutions into enterprise applications and internal systems. You will work with data scientists, backend developers, and business teams to connect AI capabilities with real business workflows.

Responsibilities include integrating AI services and chatbot APIs into portals and internal systems, building REST APIs, and deploying on AWS using Lambda, API Gateway, S3 and CloudWatch while ensuring security

Qualifications

  • Bachelor’s or Master’s degree in AI/CS.
  • 4+ years of AI engineering and API integration experience.
  • Hands-on API integration and backend development experience.
  • Familiarity with REST APIs and JSON.
  • AWS cloud experience with Lambda, API Gateway, S3, IAM, CloudWatch.

Responsibilities

  • Integrate AI services and chatbot APIs into web portals, internal systems, and applications.
  • Develop and maintain REST APIs and backend integrations.
  • Deploy and maintain applications on AWS cloud infrastructure (Lambda, API Gateway, S3, CloudWatch).
  • Configure and support services such as AWS Lambda, API Gateway, S3, CloudWatch, IAM.
  • Troubleshoot issues, optimize performance, and ensure security governance standards.
  • Collaborate with data scientists, product teams, and developers to deliver scalable AI solutions.

Skills

API integration
Backend development
REST APIs
JSON
AWS cloud
Security governance

Education

Bachelor’s or Master’s degree in AI/CS

Tools

AWS Lambda
API Gateway
S3
CloudWatch
IAM

Job description

R Systems seeks a Senior AI Engineer to support deployment and integration of AI and GenAI solutions into enterprise applications and internal systems. You will work with data scientists, backend developers, and business teams to connect AI capabilities with real business workflows.

Responsibilities include integrating AI services and chatbot APIs into portals and internal systems, building REST APIs, and deploying on AWS using Lambda, API Gateway, S3 and CloudWatch while ensuring security

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