AI Engineer

Bros Group; Cataluña; Presencial; EUR 70.000 - 95.000; Jornada completa

Descripción de la vacante

Bros Group seeks an experienced AI Engineer to join its Global AI team in Catalonia. You will design, develop and deploy end-to-end AI solutions that address complex business challenges and deliver measurable value across the organization.

Initially focusing on Generative AI, Agentic AI and LLM-based applications, you will move solutions from experimentation to production while helping build scalable, enterprise-ready AI capabilities, adhering to governance and security standards.

Formación

• 5+ years in AI with a solid foundation in ML/DL/Data Science.
• 1–2 years hands-on Generative AI/Agentic AI in real business use cases.
• Proven production deployment of AI solutions.
• Strong Python and experience with LLMs and LangChain/LangGraph.
• Fluent in English and Spanish for enterprise collaboration.

Responsabilidades

• Analyze business challenges and translate them into AI-driven solutions.
• Assess and select AI approaches for each business use case.
• Execute end-to-end AI projects from discovery to production deployment.
• Design, integrate and deploy scalable AI solutions in enterprise environments.
• Support initial business transformation initiatives within Finance.
• Ensure AI solutions meet performance, security and governance standards.

Conocimientos

AI/ML experience

Python programming

LLMs / AI orchestration

Bilingual English/Spanish

Stakeholder collaboration

Herramientas

LangChain

LangGraph

AWS

Azure

GCP

Descripción del empleo

About the Company

Our client is a global industry leader undergoing a major AI-driven transformation. As part of its Global AI strategy, the company is investing in enterprise AI capabilities to accelerate business transformation, improve decision-making and unlock value across the organization. Joining the Global AI team means becoming part of a strategic function focused on delivering scalable, production-ready AI solutions with real business impact

About the Role

As an AI Engineer, you will join the Global AI team, designing, developing and deploying end-to-end AI solutions that solve complex business challenges and deliver measurable value. Initially focused on Generative AI, Agentic AI and LLM-based applications, you will take solutions from experimentation to production while helping build scalable, enterprise-ready AI capabilities

Responsibilities

• Analyze business challenges and transformation opportunities, translating them into effective AI-driven solutions
• Assess and select the most appropriate AI approach (Machine Learning, Deep Learning, Computer Vision, Generative AI, Agentic AI or hybrid solutions) for each business use case
• Execute end-to-end AI projects, from discovery, experimentation and prototyping through to production deployment and business adoption
• Design, integrate and deploy scalable AI solutions in enterprise environments
• Support the first wave of business transformation initiatives within Finance, while building reusable AI assets and best practices that can be applied across other business domains
• Ensure AI solutions meet performance, robustness, scalability, security and maintainability requirements
• Deploy AI solutions into production environments and support model monitoring, retraining and lifecycle management
• Adhere to architectural, security and AI governance standards defined by the Global AI Department
• Continuously explore and evaluate emerging AI techniques, models and technologies, assessing their applicability within enterprise environments
• Contribute to proofs of concept, technical evaluations and reusable delivery patterns
• Share technical insights and recommendations with both business and technical stakeholders

Requirements

Must Have

• 5+ years of professional experience in Artificial Intelligence, with a solid foundation in Machine Learning, Deep Learning and/or Data Science. Within this experience, 1–2 years of hands‑on work with Generative AI and/or Agentic AI solutions applied to real business use cases
• Proven experience taking AI solutions from experimentation or proof of concept through to production deployment
• Strong Python skills and practical experience with LLMs and AI orchestration frameworks such as LangChain, LangGraph or similar
• Ability to understand business challenges and translate them into practical, scalable AI solutions
• Experience collaborating with business and technical stakeholders in enterprise environments
• Professional working proficiency in English and Spanish

Nice to Have

• Experience with AWS, Microsoft Azure and/or Google Cloud Platform
• Knowledge of agentic protocols such as A2A and MCP
• Relevant cloud or AI certifications
• Experience in banking, retail, pharmaceutical and/or manufacturing environments
• Exposure to AI-enabled business process transformation with measurable impactExperience working in global corporate environments