Descripción del trabajo

Required Qualifications:

- 5-10 years of software engineering, machine learning engineering, or AI engineering experience.
- Strong proficiency in Python and modern software engineering principles.
- Hands-on experience developing and deploying GenAI, Agentic AI, or LLM-powered applications.
- Experience with agent orchestration frameworks such as LangGraph, Pydantic AI, AG2, AutoGen, CrewAI, or similar technologies.
- Solid understanding of Retrieval-Augmented Generation (RAG), prompt engineering, tool calling, agent memory, and multi-agent architectures.
- Experience building RESTful APIs using FastAPI or equivalent frameworks.
- Strong experience with Docker, containerization, and cloud-native application development.
- Familiarity with Azure services, including Azure OpenAI, Azure AI Foundry, Azure ML, Azure Functions,



App Services, or similar platforms.
- Experience implementing CI/CD pipelines and Git-based development workflows.
- Strong debugging, problem-solving, and performance optimization skills.

Passionate about leading teams, designing cutting-edge architectures, and working with.AI, ML, Deep Learning, and GenAI. If you're an experienced technical leader with deep AI knowledge, this is you...

No buscamos un perfil para picar código ni soldar placas; serás el/la responsable de. Definirás arquitecturas de computación modular para. Integrarás interfaces de comunicación combinando buses tradi...

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📌 Ai / ml engineer (Comunidad de Madrid)
🏢 Virtusa
📍 Comunidad de Madrid