Madrid (Hybrid: 3 days office / 2 remote)

€70K–80K + 15% bonus + Benefits

International environment | 20 days remote work abroad

3 open positions

About the Opportunity

We are currently supporting a fast-growing international e-commerce technology hub in Madrid that is heavily investing in AI-first engineering and next-generation agentic systems.

This is a senior-level engineering role at the intersection of AI, backend systems, and developer productivity, focused on building production-grade AI capabilities that directly impact how software is built, tested, deployed, and maintained.

You will join a highly autonomous, international engineering environment where teams own products end-to-end and have strong technical decision-making responsibility.

What you will be doing

• Designing and building AI-driven SDLC tools (code generation, PR review automation, intelligent testing, documentation support)
• Developing LLM-powered workflows embedded into CI/CD pipelines
• Building backend AI services and scalable APIs in Python, Java, Kotlin, or JavaScript
• Implementing context-aware AI systems using MCP (Model Context Protocol) and context engineering principles
• Working with LLM orchestration, prompt design, structured outputs, and tool calling
• Building RAG-based systems using embeddings and vector databases
• Adding observability, monitoring, evaluation, and guardrails to production AI systems
• Improving engineering productivity through automation across the development lifecycle

What we are looking for

• 5–10 years of software engineering experience (backend or full stack)
• Strong experience with Python, Java, Kotlin, or JavaScript
• Proven experience building and shipping LLM-powered applications into production
• Strong understanding of:
• Prompt engineering and LLM orchestration
• RAG, embeddings, and vector databases
• API design and distributed systems
• CI/CD pipelines and production reliability
• Experience with Docker, Kubernetes, and/or Terraform
• Strong product mindset and ability to turn ambiguous requirements into scalable technical solutions

Nice to have

• MCP or context engineering experience
• LangChain or similar LLM frameworks
• Graph databases
• Streamlit or Jupyter
• Platform engineering or infrastructure as code
• NLP or applied AI experience

Why this role

• Work on real production AI systems rather than prototypes
• High ownership and autonomy in a senior engineering team
• Strong engineering culture with international collaboration
• Direct impact on how software is built and delivered across teams
• Fast-moving AI transformation programme supported at leadership level

Location and working model

• Madrid-based hybrid model (3 days office / 2 remote)
• Flexible working hours
• International collaboration across European tech hubs
• Occasional travel opportunities (Vienna, Krakow, Munich)

Hiring process

• Interview with Hiring Manager and AI Specialist (45–60 min)
• Technical assessment (Python, Java, or Kotlin)
• Final onsite interview and offer

About E-Frontiers

At E-Frontiers, we connect technology professionals with leading international companies across Europe. We support candidates throughout the hiring process, ensuring transparency, efficiency, and strong long-term alignment.