Automat-it, an AWS Premier Partner and Managed Services Provider, is seeking an AI Engineer (senior or mid) to design and deliver production-grade GenAI systems on AWS, focusing on RAG pipelines, agent-based workflows, and LLM-powered services. This hands-on role involves owning projects end-to-end—from initial design to production deployment—and collaborating with Data Science, R&D, Solution Architects, and DevOps teams to translate discovery into reliable AI solutions. Key responsibilities include building and delivering production-ready GenAI systems on AWS (Bedrock, AgentCore, RAG, intelligent document processing, voice AI, and LLM-powered services), designing AI agents using Bedrock AgentCore, AWS Strands, MCP, and modern orchestration frameworks, and deploying, monitoring, and improving ML/LLM systems with attention to performance, cost, and reliability. The role also entails working with AWS services such as Bedrock, OpenSearch, Lambda, S3, DynamoDB, SageMaker, and CloudWatch; adapting existing ML or GenAI code for production; and continuously enhancing retrieval performance, output quality, and evaluation approaches. Applicants should have strong hands-on experience building and deploying AI/GenAI systems in production, plus robust AWS expertise beyond model invocation, experience with RAG systems and vector databases, a solid understanding of modern LLM ecosystems, Python proficiency, and the ability to communicate technical decisions in English. The position is based in Madrid with a hybrid work arrangement.

Automat-it, an AWS Premier Partner and Managed Services Provider, is seeking an AI Engineer (senior or mid) to design and deliver production-grade GenAI systems on AWS, focusing on RAG pipelines, agent-based workflows, and LLM-powered services. This hands-on role involves owning projects end-to-end—from initial design to production deployment—and collaborating with Data Science, R&D, Solution Architects, and DevOps teams to translate discovery into reliable AI solutions. Key responsibilities include building and delivering production-ready GenAI systems on AWS (Bedrock, AgentCore, RAG, intelligent document processing, voice AI, and LLM-powered services), designing AI agents using Bedrock AgentCore, AWS Strands, MCP, and modern orchestration frameworks, and deploying, monitoring, and improving ML/LLM systems with attention to performance, cost, and reliability. The role also entails working with AWS services such as Bedrock, OpenSearch, Lambda, S3, DynamoDB, SageMaker, and CloudWatch; adapting existing ML or GenAI code for production; and continuously enhancing retrieval performance, output quality, and evaluation approaches. Applicants should have strong hands-on experience building and deploying AI/GenAI systems in production, plus robust AWS expertise beyond model invocation, experience with RAG systems and vector databases, a solid understanding of modern LLM ecosystems, Python proficiency, and the ability to communicate technical decisions in English. The position is based in Madrid with a hybrid work arrangement.