Senior AI Platform Engineer: Build Production-Ready AI

RWS

Porto

Presencial

EUR 75 000 - 105 000

Tempo integral

14 dias+
Gerador de candidaturas

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Resumo da oferta

RWS in Porto, Portugal is looking for a Senior AI Engineer to define the technical direction of AI platforms and drive scalable, production‑grade AI capabilities. You will own architecture decisions, establish evaluation and testing standards, and collaborate with cross‑functional teams to deliver enterprise‑grade AI features.

You will mentor engineers, shape governance around models and datasets, and contribute to the evolution of reusable platform patterns that accelerate delivery across the

Qualificações

  • 5+ years of software engineering delivering production systems.
  • Proficient in Python or a similar language with strong testing discipline.
  • Hands-on experience with LLMs or ML systems and their failure modes.
  • Experience designing evaluation metrics and pipelines for AI/ML.
  • Strong communication and ability to influence across teams.

Responsabilidades

  • Design core platform components and evaluation systems with reliability and scalability.
  • Define platform direction for AI capabilities across the company.
  • Develop reusable abstractions and services for model integration and deployment.
  • Establish observability standards and dashboards for AI systems.
  • Mentor engineers and raise engineering standards.

Conhecimentos

Software engineering
Python
LLMs / ML systems
Evaluation & metrics
API design & reliability
CI/CD & cloud
Communication & collaboration
Ambiguity tolerance

Descrição da oferta de emprego

RWS in Porto, Portugal is looking for a Senior AI Engineer to define the technical direction of AI platforms and drive scalable, production‑grade AI capabilities. You will own architecture decisions, establish evaluation and testing standards, and collaborate with cross‑functional teams to deliver enterprise‑grade AI features.

You will mentor engineers, shape governance around models and datasets, and contribute to the evolution of reusable platform patterns that accelerate delivery across the

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