Senior Python Engineer - AI-Driven Doc Verification Remote

Xident

United States

Remote

USD 160,000 - 210,000

Full time

14 days+

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Benefits offered by this job

Remote work

Job summary

Xident is seeking a senior Python developer to own the Python services behind document verification, including OCR, face matching, and job orchestration. The role blends backend engineering with machine-learning adjacent systems on GPU infrastructure to process identity documents.

You will maintain the OCR pipeline, build face-matching services with 512‑dim embeddings, and develop queue-based workload orchestration, focusing on reliability and performance of the document-processing stack.

Qualifications

  • Senior-level Python development experience.
  • Experience building or operating production backend services.
  • Familiarity with OCR and document-processing pipelines.
  • Experience with face matching, embeddings, or related computer-vision systems.
  • Ability to work with asynchronous job queues and GPU-backed workloads.

Responsibilities

  • Maintain and optimize the Python OCR pipeline using a vision-language model for document text extraction.
  • Build and operate face-matching services using InsightFace and 512-dimensional embeddings.
  • Develop job orchestration for verification workloads using a queue system.
  • Support and improve services deployed on GPU infrastructure.
  • Take ownership of the reliability and performance of document-processing components.

Skills

Senior Python
Backend systems
OCR pipelines
Face matching
GPU workloads

Tools

InsightFace
River
docling VLM

Job description

Xident is seeking a senior Python developer to own the Python services behind document verification, including OCR, face matching, and job orchestration. The role blends backend engineering with machine-learning adjacent systems on GPU infrastructure to process identity documents.

You will maintain the OCR pipeline, build face-matching services with 512‑dim embeddings, and develop queue-based workload orchestration, focusing on reliability and performance of the document-processing stack.

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