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AI Engineer

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Onsite

AI Engineer

PT Phillip Sekuritas Indonesia

AI Engineer

Skills

SQL QueriesDeep LearningDockerPythonData ScienceMachine LearningAILinuxNLP / Natural Language Processing

2 months ago

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Important information


Contract type:

Permanent

Location:

Jakarta, Indonesia

Work mode:

Onsite

Published on:

26 August 2026

What they need


About the role

Develop AI-based solutions according to company business needs. Implement, integrate, and optimize Large Language Models (LLM). Build applications based on Retrieval-Augmented Generation (RAG) and AI Agent. Develop and optimize prompts to improve quality and relevance of AI responses. Evaluate AI model and system performance and conduct necessary improvements. Monitor, troubleshoot, and optimize AI systems and applications. Collaborate with Developer and Infrastructure teams in developing and implementing AI solutions. Explore and evaluate the latest AI technologies with potential added value for the company.

Key responsibilities

  • Develop AI-based solutions according to business needs
  • Implement, integrate, and optimize Large Language Models (LLM)
  • Build applications based on Retrieval-Augmented Generation (RAG) and AI Agent
  • Develop and optimize prompts to improve quality and relevance of AI responses
  • Evaluate AI model and system performance and conduct necessary improvements
  • Monitor, troubleshoot, and optimize AI systems and applications
  • Collaborate with Developer and Infrastructure teams in developing and implementing AI solutions
  • Explore and evaluate the latest AI technologies with potential added value

Qualification

  • Minimum S1 or final year student from Computer Science, Information Technology, Information Systems, Artificial Intelligence, Data Science, or related field
  • Fresh graduates welcome to apply
  • Strong interest in Artificial Intelligence, Machine Learning, and Large Language Models (LLM)
  • Programming capability using Python
  • Understanding of fundamentals in Machine Learning, Deep Learning, NLP, Generative AI, or other AI technologies
  • Understanding of basic RAG and AI Agent concepts is a plus
  • Understanding of basic Git, REST API, and SQL/database usage
  • Experience with Linux and Docker is a plus
  • Experience or knowledge of Local LLM, LangChain, LangGraph, LlamaIndex, Vector Database, Model Deployment, Prompt Engineering, Fine-tuning LLM, Model Evaluation, MCP, or AI Agent is a plus
  • Good problem-solving, analysis, and troubleshooting capabilities
  • High curiosity about new technologies, quick learner, and able to adapt
  • Able to work independently and in teams with good communication skills
  • Able to read and understand technical documentation in English

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