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
