AI Engineer
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Job 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.
Requirements
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
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