Senior AI Engineer – AI-Driven Software Development

E-Frontiers; Comunidad de Madrid; Híbrido; EUR 59.000 - 72.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work from abroad up to 20 days

Hybrid working model

Descripción de la vacante

E-Frontiers in Madrid is seeking a Senior AI Engineer to join international engineering teams and bring AI into the software development lifecycle. You will work on practical GenAI solutions that boost developer productivity and automate QA, reviews, and testing.

The role is hybrid: 3 days in the office and 2 remote. You will build LLM‑integrated workflows, MCP‑based tools, and embeddings/RAG solutions, working closely with product and engineering teams.

Formación

• 5+ years in software engineering.
• Strong skills in Java, Python, JavaScript, or Kotlin.
• Hands-on experience integrating LLMs into production workflows.
• Knowledge of LLM orchestration, RAG, and vector databases.
• Experience with MCP, context engineering, or agentic workflows.
• Familiarity with Docker, Kubernetes, and infrastructure as code.

Responsabilidades

• Design and build AI-powered SDLC solutions, including code generation, automated code reviews, intelligent testing, and documentation.
• Develop MCP-based tools and extensions that give AI systems access to engineering context and tools.
• Apply context engineering to improve accuracy, reliability, and relevance of LLM-powered workflows.
• Build LLM-integrated workflows across CI/CD pipelines.
• Work with LLM orchestration, prompt engineering, structured outputs, and tool calling.
• Develop and integrate RAG-based solutions using embeddings and vector databases.
• Implement evaluation, observability, monitoring, and guardrails for AI systems.
• Work closely with engineering and product teams to identify new opportunities for AI-driven automation and productivity.

Conocimientos

5+ years of software engineering

Java, Python, JavaScript, or Kotlin

LLMs integration into workflows

CI/CD / production systems

Herramientas

Docker

Kubernetes

Terraform

RAG / vector databases

MCP / context engineering

Descripción del empleo

Madrid | Hybrid: 3 days in the office / 2 remote | €65K max + 10% bonus

We are supporting a leading international e-commerce technology company that is investing heavily in AI to transform the way software is designed, developed, tested, and delivered.

We are looking for a Senior AI Engineer to join an international engineering team and help bring AI capabilities directly into the software development lifecycle. You'll work on practical, production-focused solutions that improve developer productivity, engineering quality, and automation across the organisation.

This is a great opportunity for an experienced software engineer who has moved into AI and wants to work on real-world GenAI applications rather than purely experimental projects.

What You'll Be Doing

• Design and build AI-powered SDLC solutions, including code generation, automated code reviews, intelligent testing, and documentation.
• Develop MCP-based tools and extensions that give AI systems access to relevant engineering context and tools.
• Apply context engineering techniques to improve the accuracy, reliability, and relevance of LLM-powered workflows.
• Build LLM-integrated workflows across CI/CD pipelines.
• Work with LLM orchestration, prompt engineering, structured outputs, and tool calling.
• Develop and integrate RAG-based solutions using embeddings and vector databases.
• Implement evaluation, observability, monitoring, and guardrails for AI systems.
• Work closely with engineering and product teams to identify new opportunities for AI-driven automation and productivity.

What We're Looking For

• 5+ years of software engineering experience, ideally in backend or full-stack environments.
• Strong programming experience with Java, Python, JavaScript, or Kotlin.
• Hands-on experience integrating LLMs into software engineering or product workflows.
• Good understanding of RAG, embeddings, vector databases, and LLM orchestration.
• Experience with MCP, context engineering, or agentic workflows.
• Solid understanding of software development practices, APIs, CI/CD, and production systems.
• Experience with Docker, Kubernetes, and/or Terraform.
• Strong problem-solving skills and the ability to turn ambiguous ideas into practical, scalable solutions.
• A genuine interest in how AI can improve the way software engineers work.

Nice to Have

• Experience with LangChain, LangGraph, or similar frameworks.
• Experience with intelligent testing or AI-assisted code review.
• Knowledge of graph databases or knowledge graphs.
• Experience with platform engineering or Infrastructure as Code.
• NLP or applied AI experience.
• Experience building internal developer tools.

Why Join?

• Work on production AI solutions with a direct impact on software engineering teams.
• Join an international, highly collaborative engineering environment.
• Have significant ownership and influence over how AI is adopted across the development lifecycle.
• Work with modern technologies including LLMs, MCP, RAG, vector databases, and AI-powered developer tooling.
• Flexible hybrid working model: 3 days in the office / 2 remote.
• Opportunity to work with international teams across Europe.
• 20 days of remote work from abroad in approved countries.
• Strong learning and development opportunities.

Hiring Process

1. Initial interview with the hiring team.
2. Technical assessment focused on software engineering and AI.
3. Final and tech interview.

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.