AI Infrastructure/ML Platform Engineer

Company: Movilges IT Consulting

Location: Lisbon, Lisbon (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-05-01

About this role

We're recruiting
AI Infrastructure/ML Platform Engineer
(m/f) to strengthen our team, with the possibility of remote work.


What we're looking for:

  • 5+ years of experience in Infrastructure Engineering, including AI/ML production environments;
  • Strong experience with Kubernetes, GPU workloads, and AI inference optimization;
  • Hands-on experience with LLMs, Computer Vision, and real-time AI systems;
  • Knowledge of Terraform, GitOps, Linux, networking, and cloud platforms (AWS, Azure or GCP);
  • Experience with monitoring, observability, and scalable AI infrastructure;
  • Experience with vLLM, NVIDIA Triton, TensorRT, Kafka, Istio, Prometheus/Grafana, and ELK Stack (valued);
  • Knowledge of WebRTC, voice AI, Python or Go (valued);
  • Familiarity with Agile/SCRUM methodologies (valued);
  • Strong problem-solving skills, ownership mindset, and fluent English.

What we've to offer:

  • Flexibility in work regime (remote);
  • Regular monitoring plan;
  • Participation in projects with innovative technology and international dimension;
  • Remuneration compatible with the experience demonstrated, as well as health insurance and life insurance;
  • Birthday as a day off and Recommendation Policy.

If you fit this profile, send us your updated CV to recrutamento@movilges.com


If you want to know more about us:


Movilges IT Consulting has over 30 years of experience in the Spanish market, specializing in Logistics, Mobility, and IT, offering Consulting, Application Development, and System Maintenance services. Just like the technological universe, in constant evolution, Movilges IT Consulting also intends to evolve, increasing its presence in Portugal, providing the best services to partners and clients, and offering the best conditions, benefits, and professional growth opportunities to all its team.


In Portugal, we're present in different sectors, such as technology, health, public administration, energy, services, banking, and insurance.


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