AI Engineering Innovator

beBeeSolutions; Madrid; Presencial; EUR 60.000 - 85.000; Jornada completa

Descripción de la vacante

A technology solutions provider is seeking an Advanced Generative AI and Agentic Solutions Engineer in Madrid. The role involves designing and deploying AI solutions while ensuring security and compliance. The ideal candidate should have extensive experience in software engineering and Generative AI, proficient in Python, and skilled in API integration. This position offers a dynamic work environment and competitive compensation.

Formación

• 6–10 years of professional experience in software engineering & ML / AI.
• 2+ years hands-on in Generative AI with proven delivery of RAG / agent-based deployments.
• Expert-level Python coder with strong ML / AI frameworks knowledge.

Responsabilidades

• Design and develop GenAI solutions for internal and external use.
• Write production-quality Python code meeting best practices.
• Automate requirements gathering for AI use cases.

Conocimientos

Python programming

Generative AI

API integration

Cloud deployment

Software engineering

Machine Learning

CI/CD

Herramientas

PyTorch

TensorFlow

Hugging Face

LangChain

LangGraph

Descripción del empleo

Overview

Advanced Generative AI and Agentic Solutions Engineer Needed

About the Role

We are seeking an experienced professional to design, develop, and deploy advanced Generative AI and Agentic solutions for enterprise processes and industry solutions. The successful candidate will have a proven track record of delivering production-grade pilots and prototypes while adhering to engineering and security standards.

Key Responsibilities

• Design and develop GenAI solutions (assistants, automation flows, RAG / agent pipelines) for internal and external use
• Write production-quality Python code that complies with best practices and delivers reusable standard components
• Automate requirements gathering, analysis, and evaluation from stakeholders for AI / agentic use cases
• Implement agent-based solutions leveraging well-known frameworks (AutoGen, CrewAI, LangGraph, SmolAgents)
• Ensure security by design : apply secure coding, data protection, and access controls across all solutions
• Connect GenAI solutions and applications with enterprise systems and APIs (ERP, HRS, Finance platforms, databases)

Requirements

• 6–10 years of professional experience in software engineering & ML / AI
• 2+ years hands-on in Generative AI, with proven delivery of RAG / agent-based and agentic deployments
• Expert-level Python coder with strong ML / AI frameworks knowledge (PyTorch, TensorFlow, Hugging Face, LangChain / LangGraph)
• Skilled in API integration and cloud-native deployment (Azure, GCP, or AWS)
• Strong engineering discipline (CI / CD, Git, testing, documentation, secure coding practices)
• Fluent English, spoken and written, to collaborate with global teams and stakeholders

What We Offer

The ideal candidate will have a passion for innovation and a drive to deliver high-quality solutions. In return, we offer a dynamic work environment, opportunities for growth and development, and a competitive compensation package.