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.