AI Engineer

3+ years of experience in Applied AI / Machine Learning (industry) Strong Software Engineering background (Python preferred) Hands-on experience building GenAI applications, xqbhyrx RAG pipelines, and agent-based systems Experience with LangChain / LangGraph or Google ADK (or similar) Experience with cloud platforms (AWS, GCP, or Azure) Strong communication skills and a builder mindset Nice to have: Vertex AI, Gemini, LangSmith, Docker / Kubernetes, CI/CD and MLOps practices strong communication builder mindset cross-functional collaboration GenAI applications RAG pipelines Agent-based systems

Consulte la descripción del puesto a continuación. Si confía en que tiene las habilidades y la experiencia adecuadas, envíe su solicitud hoy mismo. In this role you will design, build and scale end-to-end GenAI solutions for real-world AI products. You’ll develop AI agents and retrieval-augmented pipelines, collaborating with cross-functional teams to deliver production-ready systems. You will create PoCs and help transition them to scalable offerings, staying current with GenAI trends and agentic frameworks. This position emphasizes hands-on delivery and impact, with a focus on building practical AI capabilities at scale. You will join an international, fast-growing tech environment that values concrete results and continuous learning. Compensaciones / Beneficios 100% remote within Europe Flexible working model International and collaborative environment Career growth and continuous learning opportunities Responsabilidades Design and build end-to-end Generative AI solutions Develop AI agents and RAG (Retrieval-Augmented Generation) pipelines Collaborate with cross-functional teams to deliver scalable AI systems Build and validate PoCs and production-ready solutions Stay up to date with GenAI trends and agentic frameworks