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# AI Engineer

- **Company:** Jobgether España
- **Location:** Madrid, Spain
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Audit Trail, Data Mining, Software Debugging, Python (Programming Language), Language Modeling, Open Source Technology, Performance Tuning, Systems Integration, Data Logging, Large Language Models, HuggingFace
- **Published:** July 17, 2026
- **Apply:** https://www.adzuna.es/contact-us.html

## About the Role

Requirements:The ideal candidate combines deep AI engineering expertise with strong production systems experience. Key qualifications include:6+ years of backend engineering experience, primarily in Python, building scalable production systems.Proven experience developing OCR-based document intelligence solutions for large, long-form PDFs (100+ pages).Hands-on experience deploying and managing open-source LLMs (e.g., LLaMA, Qwen, Mistral) using vLLM or Hugging Face TGI.Experience operating GPU-backed inference infrastructure with performance optimization and cost-efficiency strategies.Strong expertise in deterministic validation systems, including schema enforcement and rule-based governance layers.Excellent debugging, systems thinking, and architectural decision-making skills.Ability to clearly communicate technical trade-offs and business impact to both technical and non-technical stakeholders.Preferred experience with layout-aware models (LayoutLM, DocFormer), regulated industry

## Description

Inscribirse en esta oferta This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior AI Engineer in Spain.Accountabilities:

 + Architecting and implementing end-to-end OCR-heavy pipelines for long-form document processing, including PDF ingestion, layout-aware parsing, segmentation, and metadata tracking.
 + Designing scalable systems capable of handling 200+ page documents with high concurrency, performance consistency, and operational stability.
 + Integrating and optimizing OCR engines (e.g., Tesseract, PaddleOCR) and layout-aware or vision-language models for structured data extraction.
 + Building deterministic validation frameworks, including schema enforcement, rule-based checks, invariant validation, and automated exception routing.
 + Deploying and managing self-hosted LLM infrastructure using tools such as vLLM and Hugging Face TGI, including GPU-backed inference services.
 + Optimizing inference workloads through batching strategies, KV cache tuning, context window management, and cost-efficiency improvements.
 + Implementing robust observability systems with structured logging, tracing, monitoring, and automated recovery mechanisms.
 + Ensuring auditability, traceability, reproducibility, and governance standards for compliance-driven environments.


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