Senior AI Engineer, Document Intelligence – LLM Infrastructure
Evnek
contract
Posted on:
Location Type: Remote
Location: India
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Job Level
About the role
- Architect, build, and scale large-scale OCR-driven document intelligence systems
- Design and implement end-to-end pipelines for processing long-form, OCR-intensive documents
- Own PDF ingestion, layout-aware parsing, and multi-page document assembly
- Build robust chunking, segmentation, and metadata tracking systems
- Deploy and operate open-source LLMs using vLLM Hugging Face TGI GPU-backed serving stacks
- Implement schema enforcement, rule engines, invariants, and rejection logic
- Improve system monitoring and alerting across document pipelines
Requirements
- 7-8 years of experience in AI engineering
- 6+ years of hands-on Python engineering experience
- Proven experience building production OCR-driven document pipelines
- Strong experience with vLLM or Hugging Face TGI GPU-based LLM serving
- Experience handling long-form PDFs (100+ pages)
- Strong debugging skills
- Familiarity with document-heavy workflows such as loan processing, underwriting, or claims
Benefits
- Flexible work arrangements
- Professional development
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
OCRPythondocument pipelinesvLLMHugging Face TGIschema enforcementrule enginesmetadata trackingdebuggingdocument processing
Soft Skills
problem-solvingattention to detailorganizational skills