Enter a job title or keyword
Full Stack Specialist
Job Location:
Monthly Salary:
Posted:
5 November 2026 (3 hours ago)
Posted:
Application Deadline:
2 February 2027
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Full Stack Specialist
Location: Spain (100% Remote)
Type: Full-time
Team: Web
About the Role
Were looking for a Middle Full-Stack Developer to build and deploy cloud applications for Generative AI within the Microsoft ecosystem. The role leans toward backend (Python on Azure) where most of the work happens with frontend work in React/ when a feature needs it end-to-end. We work across both languages so being comfortable with either is essential and experience with both is a real plus.
Youll own the full lifecycle of cloud services (development deployment monitoring troubleshooting and maintenance) with a strong focus on practical AI solutions built around LLMs RAG and agent-based architectures.
This is a fully remote position based in Spain ideal for someone who enjoys innovation ownership and collaboration.
Core Tech Stack
Key Responsibilities
Requirements
Nice to Have
What We Offer
Location: Spain (100% Remote)
Type: Full-time
Team: Web
About the Role
Were looking for a Middle Full-Stack Developer to build and deploy cloud applications for Generative AI within the Microsoft ecosystem. The role leans toward backend (Python on Azure) where most of the work happens with frontend work in React/ when a feature needs it end-to-end. We work across both languages so being comfortable with either is essential and experience with both is a real plus.
Youll own the full lifecycle of cloud services (development deployment monitoring troubleshooting and maintenance) with a strong focus on practical AI solutions built around LLMs RAG and agent-based architectures.
This is a fully remote position based in Spain ideal for someone who enjoys innovation ownership and collaboration.
Core Tech Stack
- Backend (primary): Python
- Cloud: Microsoft Azure
- AI / GenAI: LLMs RAG agentic frameworks
- Frontend: React
- DevOps & CI/CD: Azure DevOps Git Pipelines
- Observability: Logging monitoring tracing
- Infrastructure as Code: Pulumi (or equivalent: Terraform Bicep)
Key Responsibilities
- Design develop and maintain production-grade full-stack applications and APIs powered by Generative AI.
- Build scalable backend and frontend solutions in Azure.
- Integrate Generative AI technologies (prompt engineering RAG Agents MCPs...).
- Collaborate with technical and business teams to define and implement solutions.
- Ensure code quality performance and system reliability.
- Stay updated on emerging technologies and AI trends.
Requirements
- 3 years of professional software development experience ideally building cloud applications.
- Strong backend experience with Python .
- Practical experience with Microsoft Azure.
- Experience with Azure DevOps Git and CI/CD pipelines.
- Experience building applications that integrate LLMs RAG or AI agents.
- Working knowledge of Infrastructure as Code (Pulumi Terraform Bicep or similar).
- Comfortable contributing to a React/ frontend when needed.
- Understanding of observability concepts (logging monitoring tracing troubleshooting).
- Professional working proficiency in English.
- Must reside in Spain and have legal authorization to work in Spain.
- Strong communication organization and stakeholder management skills.
- Experience working in Agile teams using Azure DevOps with a strong foundation in Agile principles and a mindset shaped by practical experience in real delivery environments.
Nice to Have
- Vector databases or vector search.
- Interest in data: Databricks (Unity Catalogue Genie) or Azure Data Platform (Fabric Data Factory Data Lake Gen2).
- Experience in monitoring or evaluating GenAI applications in production.
- Azure or Databricks certifications.
What We Offer
- Permanent employee contract (Spanish payroll).
- 100% remote within Spain flexible working environment.
- 30 days of paid vacation.
- 3 team-building events per year
- Dedicated budget for training and certifications.
- Hands-on work with Generative AI RAG and agent-based architectures.
- Ownership across the full lifecycle of cloud-based AI applications.
- Modern Azure-based stack.
- Client-facing project work where we aim to keep stable teams together across projects whenever possible.
