AI Engineer - AI-Driven Software Development

• 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.

• 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.

• 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. Inscribirse en esta oferta

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.