Senior GenAI & LLM Systems Engineer

Virtusa; Madrid; Presencial; EUR 90.000 - 120.000; Jornada completa

Descripción de la vacante

Virtusa is seeking an experienced AI/ML Engineer in Madrid, Spain, to lead development of GenAI and multi-agent systems. You will design architecture, implement scalable solutions, and collaborate with clients to deploy AI-powered applications.

The role requires strong Python skills, expertise with Docker and cloud-native practices, and hands-on experience with agent orchestration frameworks and FastAPI-based REST APIs.

Formación

• 5-10 years of software engineering, ML/AI experience.
• Strong Python proficiency and modern software practices.
• Experience deploying GenAI/LLM-powered apps.
• Familiar with agent orchestration frameworks.
• Understanding of RAG, prompt engineering, tool calling, and multi-agent systems.
• Experience building RESTful APIs (FastAPI).
• Proficient with Docker and cloud-native development.
• Familiar with Azure OpenAI, Azure ML, or similar services.
• Experience with CI/CD and Git workflows.
• Strong debugging and performance optimization skills.

Responsabilidades

• Analyze clients' IT processes to identify data asset generation methods.
• Advise on data architecture, management, warehousing, and data lake strategies.
• Lead teams in designing AI/ML architectures and GenAI systems.

Conocimientos

AI/ML engineering

Python

GenAI/LLM apps

Agentic AI / multi-agent

RESTful APIs (FastAPI)

Docker / containerization

Cloud-native development

Azure services

CI/CD & Git workflows

Debugging & performance

Agent orchestration frameworks

Herramientas

LangGraph

Pydantic AI

AG2

AutoGen

CrewAI

Docker

FastAPI

Azure Functions

Descripción del empleo

Virtusa is seeking an experienced AI/ML Engineer in Madrid, Spain, to lead development of GenAI and multi-agent systems. You will design architecture, implement scalable solutions, and collaborate with clients to deploy AI-powered applications.

The role requires strong Python skills, expertise with Docker and cloud-native practices, and hands-on experience with agent orchestration frameworks and FastAPI-based REST APIs.