AI Engineer

Jobgether España
Madrid, Spain
25 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
6 years minimum
Working hours
Regular working hours
Job source

Tech stack

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

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

Apply for this position

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