Ai / Ml Engineer

Virtusa
Coslada, Spain
about 2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Microsoft Azure Cloud Engineering Continuous Delivery Software Debugging Python (Programming Language) Machine Learning Performance Tuning Azure Machine Learning Software Engineering Large Language Models Multi-Agent Systems
+9 more
Prompt Engineering Generative AI Git Fastapi Containerization Virtual Agents Restful APIs Serverless Computing Docker

Job description

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.xiphteb Strong debugging, problem-solving, and performance optimization skills.

Requirements

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. xiphteb Strong debugging, problem-solving, and performance optimization skills.

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