Senior Ai Engineer (Remote From Spain)

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: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 environments (finance, healthcare), or document-intensive workflows such as underwriting or claims processing.Why Apply Through Jobgether?We use anAI-powered matching processto ensure your application is reviewed quickly, objectively, and fairly against the role’s core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.We appreciate your interest and wish you the best!Why Apply Through Jobgether?Data Privacy Notice:By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.#LI-CL1We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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 environments (finance, healthcare), or document-intensive workflows such as underwriting or claims processing.