Senior AI Engineer

DescriptionAutomat-it is where high-growth startups turn when they need to move faster, scale smarter, and make the most of the cloud. As an AWS Premier Partner and Strategic Partner, we deliver hands-on DevOps and FinOps and GenAI support that drives real results.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 seek an experienced Senior AI Engineer to join our team. You will work hands-on with innovative startups’ Data Science and R&D teams and be in charge of various projects. You will develop robust MLOps pipelines, create cutting-edge Generative AI solutions, implement the latest technologies, and ensure the customers’ success by overseeing the project from inception to completion. Work location – Madrid (hybrid)If you are interested in this opportunity, please submit your CV in English.ResponsibilitiesDeveloping backend Generative AI solutions and POCs, utilizing RAG pipelines, agent-based systems, and LLM-powered servicesTaking existing ML or customer-provided code and adapting it for training, fine-tuning, and production deployment using PyTorchDeveloping and optimizing fine-tuning workflows, model evaluation, benchmarking, and inference optimizationProvision of ML AWS resources and infrastructure primarily using managed and cloud-native servicesDeveloping ML-oriented CI/CD pipelines using GitHub Actions, Bitbucket, or similar toolsDeploying Machine Learning models in production and ensuring they are observable and monitorableCollaborating with Solution Architects and DevOps teams on scalable and cost-efficient AI infrastructureLearning new skills and technologies quickly to stay up to date with rapidly evolving GenAI toolsUsing and writing Terraform libraries for infrastructure deploymentMaintaining infrastructures and environments of all types, from dev to productionSecurity monitoring and administrationRequirementsExcellent customer-facing skills to understand and address client needs effectivelyAbility to design and implement cloud solutions and to build GenAI pipelines on AWSExperience with one or more large language model frameworks like OpenAI SDK, Amazon Bedrock, LangChain, and LlamaIndexFluency in Python, a good understanding of Linux, and mandatory hands-on production experience with PyTorchAbility to understand tools used by data scientists and experience with building Generative AI applications beyond notebooks or demosGood understanding of supervised and unsupervised learning, and deep learning conceptsFluent written and verbal communication skills in EnglishAbility to work hands-on, independently, and deliver under real project constraintsBachelor’s or Master’s degree in AI-related fields – an advantageWorking knowledge of some Vector Databases (OpenSearch, Qdrant, Weaviate, LanceDB, etc.) – an advantageExperience with Docker and Kubernetes – an advantageExperience with Azure or GCP (DevOps/MLOps) for ML or GenAI workloads – an advantageML certification (AWS ML Specialty or similar) – an advantageBenefitsProfessional training and certifications covered by the company (AWS, FinOps, Kubernetes, etc.)International work environmentReferral program – enjoy cooperation with your colleagues and get a bonus Company events and social gatherings (happy hours, team events, knowledge sharing, etc.)English classesSoft skills trainingCountry-specific benefits will be discussed during the hiring process.Automat-it is committed to fostering a workplace that promotes equal opportunities for all and believes that a diverse workforce is crucial to our success. Our recruitment decisions are based on your experience and skills, recognising the value you bring to our team.#LI-Remote #LI-AIT

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