About the Role We are looking for a Senior AI Engineer to join a growing team focused on building and deploying cutting-edge AI solutions in production environments. This role combines software engineering cloud development and Generative AI requiring a hands-on professional capable of designing developing deploying and maintaining end-to-end AI-powered applications. You will work closely with AI Engineers Data Scientists and Front-End Developers to build scalable and reliable solutions leveraging Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) and cloud-native Azure services.

Key Responsibilities - Design develop and maintain scalable backend services and APIs using Python.

- Build and deploy enterprise-grade AI solutions on Microsoft Azure.
- Integrate Large Language Models (LLMs) and Generative AI capabilities into production applications.
- Design and implement Retrieval-Augmented Generation (RAG) architectures.
- Develop prompt engineering strategies and optimize LLM interactions for business use cases.
- Build intelligent document processing solutions leveraging LLMs and AI services.
- Integrate capabilities such as semantic search document understanding speech-to-text and AI agents.
- Collaborate with cross-functional teams to ensure seamless integration of AI services and applications.
- Monitor performance troubleshoot production issues and continuously improve solution reliability and scalability.




- Contribute to technical architecture decisions and challenge existing implementations to improve code quality and maintainability.
- Stay up to date with emerging trends and innovations in Generative AI LLMs and AI engineering.

Required Experience Skills Technical Skills - Strong software engineering background with extensive experience in Python.

- Experience developing backend applications microservices and REST APIs.
- Proven experience working with Large Language Models (LLMs) and Generative AI solutions.
- Hands-on experience with Prompt Engineering beyond basic prompt creation.
- Experience designing and implementing Retrieval-Augmented Generation (RAG) solutions.
- Knowledge of NLP concepts such as embeddings semantic search document understanding and entity extraction.
- Experience deploying and managing cloud solutions on Microsoft Azure.
- Understanding of AI solution lifecycle deployment monitoring and optimization. Nice to Have - LangChain LlamaIndex Semantic Kernel or similar AI orchestration frameworks.
- Intelligent Document Processing (IDP).
- OCR and document extraction technologies.
- Speech-to-Text solutions.
- AI Agents and agentic workflows.
- Node.js development experience.
- Microsoft Bot Framework.
- Docker and containerized deployments.
- CI/CD and DevOps practices. Interested in learning more Wed love to hear from you. Reach out and lets schedule a conversation to discuss the opportunity.

📌 Backend AI engineer (Barcelona)
🏢 Business Insights
📍 Barcelona