Senior AI Engineer,
Posted on February 27, 2026
Job Description
Senior AI Engineer, Document Intelligence & LLM Infrastructure
Overview
We have the open positions for the Remote location. Kindly review the details below:
- Experience: 6 years
- Location: Remote
- Timings: 5.30pm to 2.30am
Key Responsibilities
- LargeScale Document Intelligence Pipelines
- Design and build endtoend pipelines for processing longform, OCRheavy documents
- Own PDF ingestion, layoutaware parsing, and multipage document assembly
- Implement robust chunking, segmentation, and metadata tracking across long documents
- Handle exception detection, retries, and deterministic failure handling
- Optimize systems to reliably process 200+ page documents at scale
- OCR & Structured Extraction Systems
- Work with OCR engines (Tesseract, PaddleOCR, layoutaware models, visionlanguage models)
- Build layoutaware extraction systems using bounding boxes and structural metadata
- Implement deterministic schema validation and crossfield consistency checks
- Reduce reliance on manual QA through rulebased validation layers
- Ensure traceability from extracted field back to source span
- SelfHosted LLM Inference (Production Ownership)
- Deploy and operate opensource LLMs using:
- vLLM
- Hugging Face TGI
- GPUbacked serving stacks
- Tune inference performance:
- KV cache management
- Batching
- Context window control
- Throughput vs latency tradeoffs
- Monitor and optimize GPU utilization and cost per request
- Own production reliability of LLM serving infrastructure
- Deterministic Validation & Control Systems
- Design validation layers outside the LLM
- Implement schema enforcement, rule engines, invariants, and rejection logic
- Build automated exception routing without default human review
- Ensure auditability and reproducibility of extraction results
- Create measurable correctness guarantees for highstakes use cases
Required Skills
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