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Data & AI Solution Engineer

PT. Intikom Berlian Mustika · South Jakarta, Java, Indonesia

IT Services and IT Consulting · 501-1,000 employees

May 07
Mid (2-5 yrs) Full-time Indonesia
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About the role

Design and implement scalable AI and data solutions, including LLM-powered applications and RAG pipelines for enterprise needs. Integrate AI workflows with internal systems and optimize system performance and governance.

What they look for

Python LLM RAG Vector Search AI Agents APIs SQL Azure AWS Predictive Analytics Machine Learning Data Engineering AI Deployment Enterprise AI Analytical Thinking Problem Solving

Requirements

Requires at least 3 years of experience in AI, Machine Learning, or Data Engineering with strong Python skills. Proficiency in cloud platforms like Azure or AWS and experience with vector search and AI agents is essential.

Full description

What You Will Do

  • Design and implement scalable AI and data solutions for enterprise needs.
  • Develop AI-powered applications using LLMs, RAG pipelines, and cloud AI platforms.
  • Build intelligent automation and AI agent workflows.
  • Integrate AI solutions with APIs, ERP, CRM, and internal systems.
  • Develop predictive analytics and machine learning models for business use cases.
  • Monitor and optimize AI system performance, reliability, and governance.
  • Collaborate with cross-functional teams to deliver end-to-end AI solutions.
  • Stay updated with emerging AI technologies and contribute to innovation initiatives.

What We Are Looking For

  • Minimum 3 years of experience in AI, Machine Learning, Data Engineering, or related roles.
  • Strong Python skills for AI/ML development.
  • Hands-on experience with LLM applications, RAG, vector search, or AI agents.
  • Experience with APIs, SQL, and cloud platforms (Azure or AWS).
  • Familiar with predictive analytics, AI deployment, and enterprise AI environments.
  • Strong analytical thinking, problem-solving, and communication skills.
  • Collaborative, adaptable, and able to manage multiple priorities.
  • Experience in enterprise AI projects and relevant certifications are a plus.