Descripción de la oferta
AI Engineer (LLMs & GenAI) Barcelona (Hybrid: 2 days onsite) About the Company We are a growing AI innovation team within a global organisation, focused on accelerating business value through cutting-edge artificial intelligence solutions. Working across multiple business units, we build scalable, production-grade AI systems that deliver real-world impact. About the Role We are looking for an AI Engineer to design, build, and deploy advanced AI/ML solutions. You’ll work on LLM-powered applications, multi-agent systems, and scalable data pipelines in a collaborative Agile environment. Key Responsibilities Build and maintain LLM-based applications and multi-agent systems Develop and optimise RAG pipelines (ingestion, chunking, embeddings, retrieval) Implement and manage vector databases for semantic search Build data pipelines (ETL) to support AI use cases Develop backend APIs (Python/FastAPI) for AI services Deploy and manage AI workloads on cloud platforms (AWS, Kubernetes) Design evaluation frameworks for LLM performance (automated + human review) Collaborate with cross-functional teams to deliver AI solutions Contribute to Agile ceremonies and continuous improvement Mentor junior engineers and promote best practices Requirements 3–5 years in software engineering, including 1–2 years in AI/ML Strong Python skills and experience with ML/LLM frameworks Hands-on experience with RAG systems and vector databases Experience with LLM APIs and orchestration tools Solid understanding of prompt engineering and evaluation techniques Cloud experience (AWS preferred) Experience with Docker/Kubernetes Familiarity with data pipelines (Airflow or similar) Experience working in Agile environments Strong problem-solving and communication skills Nice to Have Multi-agent systems experience MLOps (MLflow, W&B, CI/CD for ML) LLM observability tools Knowledge graphs or graph databases Infrastructure-as-code (e.g. Terraform) Experience in complex, enterprise environments About You Passionate about AI and emerging technologies Strong analytical and critical thinking skills Comfortable working in fast-paced, ambiguous environments Collaborative and proactive mindset
