Lead AI Engineer

TL;DR

Lead AI Engineer (AI Engineering): Lead the design, development, and deployment of advanced AI models, agentic architectures, and fine-tuning workflows for enterprise-grade AI systems. Focus on building scalable ML pipelines, optimizing inference, and guiding AI standards and best practices across the platform.

Location: Hybrid in Madrid or Lisbon

Salary: €110,000–€130,000 per year

Company

hirify.global is a fast-growing startup building next-generation enterprise AI solutions with a focus on fully managed AI agent lifecycles and an extensible ecosystem of agentic resources.

What you will do

• Drive technical direction and development of AI stack and GenAI capabilities.
• Build and maintain scalable data pipelines and ML model deployment workflows.
• Architect fine-tuning pipelines and automated evaluation frameworks for LLMs.
• Lead optimization of inference speed, memory usage, and cost for production systems.
• Collaborate cross-functionally to deliver client-ready AI-driven features.
• Mentor engineers and influence AI architecture and standards organization-wide.

Requirements

• Location: Hybrid work setup in Madrid or Lisbon.
• 5+ years in data engineering, ML engineering, or applied AI roles.
• Experience deploying ML models and LLMs at scale with inference optimization.
• Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, JAX).
• Strong knowledge of ML theory, cloud platforms, and containerized deployments.
• Excellent communication and leadership skills with mentoring experience.

Nice to have

• Experience with agent orchestration tools and RAG pipelines.
• Familiarity with vector databases and document retrieval strategies.
• Exposure to MLOps practices including CI/CD and automated evaluations.
• Experience in regulated or enterprise environments.
• Prior technical leadership or architecture ownership roles.

Culture & Benefits

• Competitive salary with performance bonuses and equity plans.
• Health and wellness allowances plus private health insurance.
• Flexible hybrid work setup with travel as needed.
• 25 days of paid holidays excluding local public holidays.
• High-performance, autonomous, and innovation-driven work environment.

Hiring process

• Intro call to align on fit and expectations.
• Take-home challenge based on real-world problems.
• Technical interview focusing on AI engineering and challenge discussion.
• Cultural and values interview.
• Final offer conversation.