Sr AI Engineer Document Intelligence & LLM Infrastructure
Advik Hi Tech Pvt Ltd. · Remote · remote · Posted 9d ago
Undisclosed8–13 yrsfulltimeSourced from
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About this role
Job Summary
Responsibilities
Required Experience
Strongly Preferred
Job Details
Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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.
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)
- Strong 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 Details
- Job Category: Senior AI Engineer Document Intelligence LLM Infrastructure USA Shift
- Job Type: Contract (6-12 Months)
- Job Location: india Remote USA
- Time Zone: US Shift
- Working Hours: 5:30pm - 2:30am
- Nature: Contract
- Experience: 6 to 8+ Years
- Contract Duration: 6 Months
- Number of Positions: 1
Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
Manual QaLlamalanguage modelsArticulateai engineerControl SystemsDocument ProcessingCachemetadataDesign SystemsLoan ProcessingConcurrencyLarge Language Models (LLMs)debuggingHealthcareArchitecturecompliancefinanceArtificial IntelligenceCache Management
About Advik Hi Tech
Advik Hi Tech Pvt Ltd.
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26 years old
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IN
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Advik Hi-Tech Pvt. Ltd. is a Tier 1 Automobile Component Manufacturer.
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