Experteer Overview
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As Lead AI Engineer, you will shape and scale core AI services within the Generative AI and AI Quality space, setting technical standards and architecture. You’ll influence the AI roadmap, drive high-availability systems, and tackle challenging problems in an AI-first environment. You’ll lead by example, mentor engineers, and collaborate with researchers and cross-functional partners to deliver production-grade AI solutions that align with the company’s mission of advancing AI governance, quality, and innovation. This role offers strategic impact and hands-on leadership in a fast-growing startup culture.
Compensaciones / Beneficios
• Lead design, implementation and scaling of core AI services for high availability, performance, and security
• Make strategic decisions on models, evaluation frameworks, retrieval systems, agentic workflows, and custom fine-tuning
• Define and champion LLMOps, MLOps and DevOps practices to enable agile, high-quality product delivery
• Execute the long-term AI roadmap while upholding best engineering standards
• Collaborate with research and technical partners to leverage advanced computational resources for cutting-edge AI solutions
• Translate research into scalable production-grade AI systems with cross-functional teams
• Mentor junior and mid-level engineers through code reviews, architecture design, and guidance




• Foster a culture of technical excellence and knowledge sharing across the team
Responsabilidades
• 8+ years building, deploying, and scaling complex software
• at least 4 years in Machine Learning / Deep Learning products
• Proven ability to thrive in fast-growing environments
• Demonstrated experience guiding technical strategy, mentoring teams, and influencing roadmaps
• Hands-on Generative AI expertise across the full LLM lifecycle: fine-tuning, RAG, agentic systems, production-grade evaluation
• Expertise designing and scaling production-grade AI/ML systems using Python and deep learning frameworks
• Experience deploying, monitoring, and maintaining robust AI solutions at scale with MLOps xqbhyrx / LLMOps
• Familiarity with LLM orchestration, vector databases, knowledge graphs, observability, and evaluation frameworks
• Strong communication skills to articulate trade-offs to technical and non-technical stakeholders, including executives
• Master’s in Computer Science, AI, or related field (PhD preferred); fluent in English and Spanish
Requisitos principales
• Hybrid Work Model
• Competitive Compensation with equity options
• Paid Time Off: 23+ vacation days plus holidays
• Professional Growth budget for courses, certifications, conferences
• Cutting-Edge Projects in AI governance and quality
• Dynamic startup environment with growth paths and ownership opportunities

📌 Lead AI Engineer (Barcelona)
🏢 Antal International Network
📍 Barcelona