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5 дней назад

Data and AI Software Engineer Specialist (AI)

49 600 - 74 400€
Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
Spain
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Data and AI Software Engineer Specialist (AI): Building full-stack applications, platform services, APIs, and AI-powered tools for a global data and AI platform with an accent on React, TypeScript, Node.js, Python, cloud-native deployment, and GenAI patterns. Focus on implementing RAG and agent orchestration, operating Kubernetes and AWS services, and ensuring production readiness through observability, security, and CI/CD.

Location: Barcelona, Spain; hybrid working model

Salary: €49,600–€74,400 per year

Company

hirify.global is a global biopharmaceutical company developing medicines and vaccines to improve human health.

What you will do

  • Build full-stack applications and platform services across the OneMesh ecosystem using React, TypeScript, Node.js, and Python with FastAPI.
  • Design and maintain REST and GraphQL APIs for discovering and managing data and AI capabilities.
  • Implement AI and GenAI application patterns, including LLM APIs, retrieval-augmented generation, agent orchestration, and evaluation frameworks.
  • Deploy and operate cloud-native applications on OpenShift, Kubernetes, and AWS using GitOps and Terraform.
  • Implement security controls, audit logging, health checks, metrics, alerting, and other production-readiness practices.
  • Build CI/CD pipelines and collaborate with data engineers, ML practitioners, product teams, and business stakeholders.

Requirements

  • Bachelor’s degree or equivalent experience in Computer Science, Engineering, or a related field.
  • Proven experience building software products, backend systems, platform services, or cloud-native applications.
  • Strong command of Docker, Kubernetes or OpenShift, Python with FastAPI, Terraform, React, Node.js, and TypeScript.
  • Familiarity with AWS services, Snowflake, PostgreSQL, Redis, message brokering, GitHub Actions, and GenAI or LLM application patterns.
  • Versatile, adaptable, and comfortable working across multiple products in ambiguous, fast-moving environments.
  • Excellent English communication skills and the ability to explain complex technical concepts to non-technical stakeholders.

Culture & Benefits

  • Work on data and AI products deployed globally in healthcare.
  • Access mentorship and training from leaders and academics in machine learning, data, and software engineering.
  • Opportunities for promotions, lateral moves, and international assignments.
  • Inclusive environment focused on collaboration, innovation, sustainability, and social responsibility.

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