Senior AI Developer

beBeeSoftware; Valencia; Presencial; EUR 50.000 - 80.000; Jornada completa

Descripción de la vacante

A leading tech company in Valencia is seeking an experienced AI Solutions Developer to design and deploy AI-driven solutions. The role demands a strong foundation in machine learning and generative AI. The ideal candidate will create scalable solutions and collaborate with data scientists and engineers. This is an excellent opportunity for a candidate looking to innovate in AI technologies.

Formación

• Strong foundation in AI and machine learning.
• Experience with generative AI solutions.
• Proficiency in Python and AI libraries.

Responsabilidades

• Create scalable AI solutions, including RAG architectures.
• Design reusable AI components and best practices.
• Collaborate to integrate models into cloud platforms.

Conocimientos

Machine learning

Generative AI

Cloud computing

Python

PyTorch

TensorFlow

Descripción del empleo

Overview

AI Solutions Developer

We are seeking an experienced AI developer to design and deploy AI-driven solutions, with a strong foundation in machine learning, generative AI, and cloud computing.

About the Role :

This role is ideal for an engineer who is passionate about designing and deploying AI-driven solutions and can translate requirements into technical solutions. The successful candidate will work closely with data scientists, engineers, and business stakeholders to lead the development of AI-based products and services.

Responsibilities

• Create scalable, robust, and maintainable machine learning and GenAI solutions, including RAG architectures, autonomous agents, and evaluation pipelines.
• Design and develop reusable AI components and best practices for GenAI systems.
• Collaborate with cross-functional teams to integrate models into production environments using cloud platforms such as Azure, AWS, or Google Cloud.

Requirements

• Solid understanding of AI foundations, including both classical machine learning and generative AI.
• Proven experience building GenAI solutions, such as retrieval-augmented generation (RAG), autonomous agents, and evaluation frameworks.
• Proficient in Python and popular AI libraries (e.g., PyTorch, TensorFlow, LangChain, HuggingFace).