Artificial Intelligence Engineer

Beagle; Barcelona; Presencial; EUR 90.000 - 130.000; Jornada completa

Descripción de la vacante

Beagle in Barcelona, Spain, is seeking a Senior 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 efficient deployment across multicore hardware architectures.

Applicants should have 8+ years in AI engineering or model deployment, with strong knowledge of PyTorch/TensorFlow and C1-level English.

Formación

• 8+ years of experience in AI engineering or model deployment.
• Strong knowledge of AI model performance analysis and multicore techniques.
• Experience with AI frameworks such as PyTorch and TensorFlow.
• Excellent problem-solving skills and attention to detail.

Responsabilidades

• Develop and deploy AI-based applications and models for acceleration platforms.
• Analyse AI model performance and optimise workloads for multicore architectures.
• Work with 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

English (C1)

Educación

Bachelor/Master/PhD in CS/Engineering

Herramientas

PyTorch

TensorFlow

ONNX Runtime

CUDA

Descripción del empleo

Descripción del trabajo

ROLE: Senior AI Engineer

LOCATION: Barcelona, Spain

SALARY: Negotiable

DURATION: Permanent

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

s.Responsibiliti

• 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

ts.Requireme

• 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

ish.Desirable Experi

• ence:ONNX Runtime, CUDA/ROCm, Tens
• orRT.AI compilers such as OpenXLA, TVM, or
• IREE.AI deployment frameworks including vLLM, SGLang, Triton, or DeepS
• 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