Senior AI Engineer Document Intelligence & LLM Infrastructure USA Shift By ashish / February 27, 2026 Job Title – Senior AI Engineer Document Intelligence & LLM Infrastructure Nature: Contract Time Zone : US Shift

Working Hours
5.30pm – 2.30am Work

Location:
Remote Exp : 6 to 8 +Years Contract Duration : 6 Months No of Position : 1 Role Overview We are hiring a senior individual contributor to own and scale large-scale, OCR-driven document intelligence systems powered by self-hosted LLMs. This is a deeply hands-on engineering role focused on production systems that process long-form documents (200+ pages), extract structured data deterministically, and run on optimized GPU-backed inference infrastructure. You will work closely with the AI leadership team but will independently own architecture, performance, and reliability of document processing pipelines. Core Responsibilities
• ⁠ ⁠Large-Scale Document Intelligence Pipelines ○ Design and build end-to-end pipelines for processing long-form, OCR-heavy documents ○ Own PDF ingestion, layout-aware parsing, and multi-page 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, layout-aware models, vision-language models)



○ Build layout-aware extraction systems using bounding boxes and structural metadata ○ Implement deterministic schema validation and cross-field consistency checks ○ Reduce reliance on manual QA through rule-based validation layers ○ Ensure traceability from extracted field back to source span
• ⁠ ⁠Self-Hosted LLM Inference (Production Ownership) ○ Deploy And Operate Open-source LLMs Using
• vLLM
• Hugging Face TGI
• GPU-backed serving stacks ○ Tune Inference Performance
• KV cache management
• Batching
• Context window control
• Throughput vs latency trade-offs ○ 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 high-stakes use cases
• ⁠ ⁠Production Engineering & Scale ○ Design Systems That Handle
• Large document volumes
• Concurrency
• Failure states
• Observability and monitoring ○ Build logging, tracing,



and metrics around document processing pipelines ○ Collaborate with cross-functional teams to ship production-grade AI systems Required Experience ○ 6+ years of hands-on Python engineering ○ Proven production experience building OCR-driven document pipelines ○ Experience handling long-form PDFs (100+ pages) ○ Solid Experience With
• vLLM or Hugging Face TGI
• GPU-based LLM serving
• Open-source LLMs (LLaMA, Qwen, Mistral, etc.) ○ Experience building deterministic validation systems (schema + rule enforcement) ○ Strong debugging and systems-level thinking ○ Ability to clearly articulate system trade-offs and business impact Strongly Preferred ○ Experience with layout-aware models (LayoutLM, DocFormer, vision-language models) ○ Experience optimizing GPU cost and inference performance ○ Experience in regulated domains (healthcare, finance, compliance) ○ Familiarity with document-heavy workflows such as loan processing, underwriting, or claims Job Category: Senior AI Engineer Document Intelligence & LLM Infrastructure USA Shift

Job Type
Contract (6–12 Months) Job

Location:
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📌 Senior AI Engineer Document Intelligence (Bengaluru)
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📍 Bengaluru