Lead AI Engineer

hace 2 semanas

barcelona, España Antal International Network A tiempo completo

We are looking for an experienced Lead AI Engineer to lead the design and development of core AI services in the Generative AI and AI Quality sector . In this role, you will not only build features but also architect systems, define technical standards, and make critical design decisions to ensure scalable, reliable, and production-ready AI solutions. As a key technical leader, you will guide the team by example, influence the AI roadmap, and tackle some of the most challenging problems in the AI-first space. What You’ll Do Architectural Leadership Lead the design, implementation, and scaling of core AI services built for high availability, performance, and security . Make strategic decisions on models, evaluation frameworks, and system designs, including retrieval systems, agentic workflows, and custom fine-tuning. Technical Strategy & Best Practices Define and champion LLMOps, MLOps, and DevOps practices to ensure agile, high-quality product delivery. Execute the long-term AI roadmap while driving best-in-class engineering standards. Collaboration & High-Impact Projects Collaborate with research and technical partners to leverage advanced computational resources for cutting-edge AI solutions. Work closely with cross-functional teams to translate research into scalable production-grade AI systems. Mentorship & Team Development Mentor junior and mid-level engineers through code reviews, architecture design, and technical guidance. Foster a culture of technical excellence and knowledge sharing across the team. About You Experience: 8+ years building, deploying, and scaling complex software, with at least 4 years in Machine Learning / Deep Learning products . Scale-Up Environment: Proven ability to thrive in fast-growing, high-paced organizations. Technical Leadership: Demonstrated experience guiding technical strategy, mentoring teams, and influencing roadmaps. Generative AI Expertise: Hands-on experience across the full LLM lifecycle, including fine-tuning, RAG, agentic systems, and production-grade evaluation. Systems Design: Expertise designing and scaling production-grade AI/ML systems with Python and deep learning frameworks. MLOps / LLMOps: Experience deploying, monitoring, and maintaining robust AI solutions at scale. Tech Stack Knowledge: Familiarity with LLM orchestration, vector databases, knowledge graphs, observability, and evaluation frameworks. Communication: Strong ability to articulate technical trade-offs to technical and non-technical stakeholders, including executives. Education & Languages: Master’s in Computer Science, AI, or related field (PhD preferred). Fluent in English and Spanish. Benefits Hybrid Work Model: Flexible balance between remote work and time in Barcelona office. Competitive Compensation: Attractive salary with equity options. Paid Time Off: 23+ vacation days per year plus additional holidays. Professional Growth: Learning & development budget for courses, certifications, and conferences. Cutting-Edge Projects: Work at the forefront of AI governance, quality, and innovation. Dynamic Startup Environment: Clear growth paths, regular performance reviews, and opportunities to take ownership of high-impact projects. #J-18808-Ljbffr

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