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Data Scientist (AI / LLM Applications)

Jakarta, ID

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Work setup in the employer’s listing: On-site
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Employment
Full-time — employment source
Employment type in the employer’s listing: Full-Time
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What you’ll work on

Full posting
  • Build AI agents that automate internal workflows in operations, HR and tools

  • Experiment with prompting strategies, RAG systems and agentic frameworks

  • Translate business problems into AI solutions with cross-functional teams

From the employer’s posting
Build AI applications and agents that automate internal workflows across operations, HR, and internal tools.
Experiment with prompting strategies, RAG systems, agentic frameworks, and modern AI tooling.
Collaborate with cross-functional teams to translate business problems into AI solutions.

What you’ll bring

All qualifications

Core experience

  • Minimum 2 years of experience in data science, ML or AI development
  • Proficiency in Python
  • Experience deploying AI or machine learning applications to production
  • Familiarity with LLMs and modern AI application patterns

Preferred experience

  • Experience building LLM-powered applications such as chatbots, AI assistants, or agent-based systems.
  • Familiarity with RAG, vector databases, and LLM orchestration frameworks such as LangChain, Google ADK, or OpenAI Agents, and other similar tools.
  • Experience building and deploying AI applications using tools such as FastAPI, Streamlit, or similar frameworks.
Qualification wording
Minimum 2 years of relevant experience in data science, machine learning, or AI development.
Proficiency in Python.
Experience building AI or machine learning applications and deploying them to production environments.
Familiarity with Large Language Models (LLMs) and modern AI application patterns.
Experience building LLM-powered applications such as chatbots, AI assistants, or agent-based systems.
Familiarity with RAG, vector databases, and LLM orchestration frameworks such as LangChain, Google ADK, or OpenAI Agents, and other similar tools.
Experience building and deploying AI applications using tools such as FastAPI, Streamlit, or similar frameworks.

Tools in this posting

  • Python
  • FastAPI
  • Streamlit
Source — Tool mentions in context
- Minimum 2 years of relevant experience in data science, machine learning, or AI development. - Proficiency in Python. - Experience building AI or machine learning applications and deploying them to production environments.
- Familiarity with RAG, vector databases, and LLM orchestration frameworks such as LangChain, Google ADK, or OpenAI Agents, and other similar tools. - Experience building and deploying AI applications using tools such as FastAPI, Streamlit, or similar frameworks. #LI-AL1

Posting record

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Status in our records
No longer listed
First seen by us
Jun 3, 2026 · 144 days ago
Recorded sightings
174
Last seen by us
Oct 12, 2026
Employer says posted
May 26, 2026

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Job description

View original posting ↗

As a Data Scientist, you will be part of a team building intelligent systems powered by modern AI and Large Language Models (LLMs). You will work closely with engineers, product teams, and business stakeholders to turn ideas into practical AI applications that improve internal tools and business processes.

Our ideal candidate is hands-on, curious, and comfortable moving quickly from experimentation to production.

About the Job:

  • Build and prototype AI applications using Large Language Models (LLMs) and AI agents.
  • Design and deploy end-to-end AI pipelines, from data preparation to production systems.
  • Build AI applications and agents that automate internal workflows across operations, HR, and internal tools.
  • Experiment with prompting strategies, RAG systems, agentic frameworks, and modern AI tooling.
  • Collaborate with cross-functional teams to translate business problems into AI solutions.



About You:

  • Minimum 2 years of relevant experience in data science, machine learning, or AI development.
  • Proficiency in Python.
  • Experience building AI or machine learning applications and deploying them to production environments.
  • Familiarity with Large Language Models (LLMs) and modern AI application patterns.



Preferred Qualifications

  • Experience building LLM-powered applications such as chatbots, AI assistants, or agent-based systems.
  • Familiarity with RAG, vector databases, and LLM orchestration frameworks such as LangChain, Google ADK, or OpenAI Agents, and other similar tools.
  • Experience building and deploying AI applications using tools such as FastAPI, Streamlit, or similar frameworks.

#LI-AL1

Source details

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Jakarta, ID

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