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: india Remote USA

Apply for this position

Full Name

Email

Phone

Cover Letter

Upload CV/Resume Allowed Type(s): .pdf, .doc, .docx

By using this form you agree with the storage and handling of your data by this website.

Previous

Principal Architect –

- AI-Native Data Analytics &
- MDM Platform (SAP + Multi-Source) (10 years)

Next

DotNet Full Stack Engineer 10+ years

📌 Senior AI Engineer Document Intelligence & LLM Infrastructure USA Shift (India)
🏢 AADVIK TECH SERVICES
📍 India