Descripción de la oferta
Can you imagine building internal AI platforms that empower the next generation of ML and Agentic AI applications?Si sus habilidades, experiencia y cualificaciones coinciden con las de esta descripción del puesto, no demore su solicitud.IntroductionJoin our expert team to work on a cutting‑edge AI platform environment, contributing to the development of scalable and highly available internal solutions for ML, LLM and Agentic AI applications. You will apply your knowledge of Kubernetes and Python, DevOps and cloud‑native technologies to support enterprise AI platforms and backend services. At ERNI you are never just a number. Even if you work on an external project, you will feel part of the team and always supported.Our Support SystemBesides your team and manager, you will have support figures such as a godparent, who will help you with practical and administrative aspects of daily life during your first six months. You will also have a mentor who will guide you through your entire onboarding and career at ERNI. Regular 1:1 meetings and development plans will help you define short, medium and long‑term goals.ResponsibilitiesYou will be responsible for design, build, release and support of highly available AI foundations platforms used by data scientists and software engineers across the company. You will collaborate with international engineering teams while improving platform reliability, scalability and performance. You will also contribute to MLOps and enterprise LLM platforms, implementing monitoring, disaster recovery and automation solutions.Career FlexibilityWe work on a wide variety of projects, technologies and sectors, allowing you to grow in different environments. If a project ends or you feel ready for a new challenge, we will find another one that aligns with your professional development.Working ModelWe ask you to be available for key meetings. If you need to leave for a doctor’s appointment or to pick up your child from school, no problem. We trust you to deliver quality work within a 40‑hour workweek. Our model is hybrid; you usually go tothe office two days a week, though this depends on the project and team.QualificationsStrong experience with Docker, Kubernetes/OpenShift and DevOps tools such as Jenkins, Helm and Git.Professional coding experience in Python and backend development with FastAPI and Celery.Experience working with infrastructure as code tools such as Terraform or AWS CloudFormation.Knowledge of enterprise AI platforms such as Databricks or Snowflake and understanding of ML and LLM fundamentals.Excellent communication skills in English and experience working in international environments.BenefitsWe cover your certifications and reward technical achievements up to €1,400.Private health and travel insurance.Full coverage for sick leave and one extra day off per month without medical leave.Free emotional, legal, and family support.Gym discounts and sports compensation.Flexible remuneration for meals, transport, childcare, and more.Referral bonuses up to €6,000 per candidate and €5,000 per client.23 working days of vacation. xhfqzwm Free language courses in English, Spanish, Catalan and German.#J-18808-Ljbffr
