Artificial Intelligence Engineer

Beagle; Barcelona; Presencial; EUR 90.000 - 110.000; Jornada completa

Descripción de la vacante

Beagle is seeking an experienced AI Engineer to develop and deploy AI applications and models for advanced acceleration platforms. You will optimise AI workloads for multicore architectures and collaborate with software and hardware teams to improve performance.

The role involves working with leading AI frameworks such as PyTorch and TensorFlow, and ensuring hardware-aware optimisation and scalable deployment across architectures.

Formación

• 8+ years of experience in AI engineering, application development, or model deployment.
• Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related field.
• Strong experience developing and deploying AI-based applications.
• Solid knowledge of AI model performance analysis and multicore techniques.
• Experience with AI frameworks such as PyTorch and TensorFlow.
• Strong problem-solving skills and attention to detail.
• C1-level English proficiency.
• ONNX Runtime, CUDA/ROCm, TensorRT.
• C/C++ and Python interoperability.
• Software profiling and architecture-based optimization.
• CI/CD, assembly, and bare-metal programming.
• Experience with model accuracy tracking.

Responsabilidades

• Develop and deploy AI-based applications and models on acceleration platforms.
• Analyse AI model performance and optimise workloads for multicore architectures.
• Work with leading AI frameworks and deployment technologies.
• Support model optimisation, accuracy tracking, and hardware-aware performance tuning.
• Collaborate with software and hardware teams to improve AI application performance.
• Develop tools and frameworks that enable efficient AI deployment.
• Contribute to profiling, optimisation, and software-architecture improvements.

Conocimientos

AI engineering

Model deployment

Multicore optimization

PyTorch

TensorFlow

C/C++ interoperability

Python

CI/CD

English (C1)

Educación

Bachelor’s/Master’s/PhD in CS/Engineering

Herramientas

ONNX Runtime

CUDA/ROCm

OpenXLA

TVM

Descripción del empleo

An exciting opportunity for an experienced AI Engineer to develop and deploy AI applications and models for advanced AI acceleration platforms. The role focuses on AI frameworks, model performance optimisation, and enabling efficient deployment across multicore hardware architecture

Responsibilities

• es:Develop and deploy AI-based applications and mode
• ls.Analyse AI model performance and optimise workloads for multicore architectur
• es.Work with leading AI frameworks and deployment technologi
• es.Support model optimisation, accuracy tracking, and hardware-aware performance tuni
• ng.Collaborate with software and hardware teams to improve AI application performan
• ce.Develop tools and frameworks that enable efficient AI deployme
• nt.Contribute to profiling, optimisation, and software architecture improvemen

Requirements

• nts:8+ years of experience in AI engineering, application development, or model deploym
• ent.Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related fi
• eld.Strong experience developing and deploying AI-based applicati
• ons.Solid knowledge of AI model performance analysis and multicore techniq
• ues.Experience with AI frameworks such as PyTorch and TensorF
• low.Strong problem-solving skills and attention to det
• ail.C1-level Engl
• ence:ONNX Runtime, CUDA/ROCm, Tens
• orRT.AI compilers such as OpenXLA, TVM, or
• peed.C/C++ and Python interoperabi
• lity.Software profiling and architecture-based optimisa
• tion.CI/CD, assembly, and bare-metal program
• ming.Experience with model accuracy trac