Backend AI engineer

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? We´d love to hear from you. Reach out and let´s schedule a conversation to discuss the opportunity.