5 дней назад
Data and AI Software Engineer Specialist (AI)
49 600 - 74 400€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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