Automat-it is an all-in AWS Premier Partner and Managed Services Provider specializing in the startup ecosystem. With over 800 customers and 500+ AWS certifications, Automat-it brings hands-on expertise in AI, DevOps, and FinOps to empower fast-paced startups to grow, deliver & win. Our customers save significant time-to-market and optimize their cloud performance and costs.

We work across EMEA and the US, fueling innovation and solving complex challenges daily. Join us to grow your skills, shape bold ideas, and help build the future of tech.

We’re looking for an AI Engineer (Senior level or strong Middle) to join our team and work directly with startup's Data Science and R&D; teams. This is a hands-on, delivery-focused role where you will own projects end-to-end, from early design to production deployment.

The role is focused on building production-grade Generative AI systems on AWS, especially RAG pipelines, agent-based workflows, and LLM-powered backend services. This is not a pure research or model training role,



it’s about designing and shipping reliable systems under real constraints.

? Work location: hybrid from Madrid.

If you are interested in this opportunity, please submit your CV in English.

Key Responsibilities
Build and deliver production-ready GenAI systems on AWS, including RAG pipelines, retrieval logic, and LLM-based services
Design and implement agent-based or multi-step workflows for real use cases (not just prototypes)
Work closely with Solution Architects, DevOps, and client teams to turn ideas and POCs into scalable systems
Deploy, monitor, and improve ML/LLM systems in production, focusing on performance, cost, and reliability
Work with AWS services such as Bedrock, OpenSearch, Lambda, S3, DynamoDB, SageMaker, and CloudWatch
Adapt existing ML or GenAI code into production environments when needed
Continuously improve system quality, including retrieval performance, output consistency, and evaluation approaches
Operate in a fast-paced, pro

📌 Senior AI Engineer (Madrid)
🏢 Automat-IT
📍 Madrid