Document AI Engineer: Scale LLM Pipelines & Data Tools

AME Mineral Economics Pty Ltd.

Daerah Khusus Ibukota Jakarta

On-site

IDR 240,000,000 - 420,000,000

Full time

14 days+

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Benefits offered by this job

Opportunity to build a greenfield AI product
Work with cutting-edge LLM and AI tools
Modern, central office location

Job summary

A leading mineral economics firm is seeking an ML Engineer to design and build AI tools focused on document processing. The ideal candidate will possess strong software engineering skills and experience with AI-driven data tools. Key responsibilities include integrating AI solutions, implementing data extraction pipelines, and developing scalable APIs. This role offers the chance to work with cutting-edge technologies and contribute to innovative projects in the minerals industry.

Qualifications

  • 3+ years of professional experience as a Machine Learning Engineer, AI Engineer, or NLP Engineer.
  • Demonstrated experience building tools that leverage LLMs/SLMs for text and document understanding.

Responsibilities

  • Integrate AI solutions with internal and client-facing tools.
  • Design and implement pipelines for data extraction from documents.
  • Develop workflows using small language models and rule-based methods.
  • Build scalable APIs for financial data consumption.

Skills

Building AI-driven data tools
Python programming
Document parsing libraries
Vector databases usage
Software engineering best practices (Git, CI/CD)

Education

BSc in Computer Science or related field

Tools

Chroma
Pinecone
Weaviate

Job description

A leading mineral economics firm is seeking an ML Engineer to design and build AI tools focused on document processing. The ideal candidate will possess strong software engineering skills and experience with AI-driven data tools. Key responsibilities include integrating AI solutions, implementing data extraction pipelines, and developing scalable APIs. This role offers the chance to work with cutting-edge technologies and contribute to innovative projects in the minerals industry.
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