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Artificial Intelligence Engineer

Artificial Intelligence Engineer

R Systems International
5-7 Years
Not Disclosed
  • Posted 17 hours ago
  • Be among the first 10 applicants

Job Description

Hiring: Data Engineer / AI Engineer

We are looking for an experienced Data Engineer with 5+ years of overall experience, including at least 1–2 years of hands-on experience as an AI Engineer.

Role: Data Engineer / AI Engineer

Experience: 5+ years overall, with 1–2+ years in AI Engineering

Location: Malaysia

Employment Type: Full-time / Contract

Key Responsibilities

  • Design, build and maintain scalable data pipelines and data platforms.
  • Develop and optimize ETL/ELT pipelines for structured and unstructured data.
  • Work with cloud data platforms, data lakes and data warehouses.
  • Develop and integrate AI/ML solutions into data and business applications.
  • Work with Generative AI, LLMs, RAG or AI-powered applications where applicable.
  • Prepare, transform and manage datasets for AI/ML model development and deployment.
  • Develop APIs and data services to support AI and analytics applications.
  • Implement data quality, monitoring, governance and performance optimization.
  • Collaborate with Data Scientists, AI Engineers, Software Engineers and Business teams.
  • Troubleshoot data and AI pipeline issues and support production deployments.

Required Skills

  • 5+ years of experience in Data Engineering
  • 1–2+ years of hands-on AI Engineering experience
  • Strong experience in Python and SQL
  • Strong understanding of ETL/ELT and data pipeline development
  • Experience with data lakes, data warehouses and cloud platforms
  • Experience with Apache Spark / PySpark
  • Experience with technologies such as Databricks, Azure, AWS or GCP
  • Understanding of Machine Learning and AI concepts
  • Hands-on exposure to Generative AI / LLM / RAG solutions
  • Experience with APIs, microservices and cloud-based applications
  • Strong problem-solving and analytical skills

Nice to Have

  • Experience with Azure OpenAI, AWS Bedrock, Google Vertex AI or similar AI platforms
  • Experience building RAG pipelines and vector databases
  • Knowledge of ML/AI deployment and MLOps
  • Experience with Docker, Kubernetes and CI/CD
  • Knowledge of Kafka or other streaming technologies
  • Experience working with production-grade AI applications

More Info

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Key Skills

cloud-based applications

CI CD

data lakes

data pipeline development

Generative AI

cloud platforms

RAG