AI Engineer

Bros Group; Barcelona; Presencial; EUR 70.000 - 110.000; Jornada completa

Descripción de la vacante

Bros Group is seeking an AI Engineer to join the Global AI team, focusing on Generative AI, Agentic AI, and LLM-based applications. You will design, develop, and deploy end-to-end AI solutions that create measurable business impact in enterprise settings.

You will work from discovery through production, coordinating with stakeholders to ensure scalable, secure and robust AI capabilities across Finance and other domains. Multilingual proficiency in English and Spanish is required.

Formación

• 5+ years of AI experience including 1–2 years with Generative AI/Agentic AI in real business use cases.
• Proven track record taking AI from exploration to production deployment.
• Strong Python skills and experience with LLMs and AI orchestration frameworks.

Responsabilidades

• Analyze business challenges and translate them into AI-driven solutions.
• Select appropriate AI approaches (ML, DL, CV, Generative/Agentic AI) for each use case.
• Lead end-to-end AI projects from discovery to production deployment and adoption.
• Design, integrate, and deploy scalable AI solutions in enterprise environments.
• Ensure AI solutions meet performance, security, and governance standards.

Conocimientos

Python

LLMs

LangChain

LangGraph

English and Spanish

Educación

Herramientas

LangChain

LangGraph

Descripción del empleo

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 impact
• Experience working in global corporate environments

If you're ready to help shape the future of enterprise AI as part of a Global AI team, we'd love to hear from you!