Overview

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 / Ventajas 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

Responsabilidades 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

Requisitos principales 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 / 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 communication mentorship cross-functional collaboration

LLM lifecycle (fine-tuning, RAG, agentic systems)

production-grade evaluation

Python and deep learning frameworks

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