AI Data Engineer

Job description

🚀 **Join Our Remote Data Products & Machine Learning Startup!** 🚀 At Muttdata, we build innovative Data Products and Machine Learning solutions that help companies solve complex business challenges. As a fast-growing, remote-first startup, we're passionate about technology, collaboration, and continuous learning. We are looking for a builder-minded **AI Data Engineer** to join our team 🐶🚀. You'll have the opportunity to work on a challenging project for a **leading bank**, using GitHub Copilot and AI agents as everyday tools, and bringing LLMs, RAG, and AI Agents into Data+, our internal data platform, to automate Data Engineering and operational tasks — on top of a solid Data Engineering, Cloud, and Platform Engineering foundation. ### 🚀 What We Do - Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting. - Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client. - Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems. - Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster. - Building deep learning models, we enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval. - Developing recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions. ### 🌟 Our Partnerships - Amazon Web Services - Astronomer - Databricks ### 🌟 Our Values - 📊 We are Data Nerds - 🤗 We are Open Team Players - 🚀 We Take Ownership - 🌟 We Have a Positive Mindset 🔍 Curious about what we’re up to? Check out [our](https://blog.muttdata.ai/tag/Case%20Studies/1) case studies and dive into our [blog post](https://blog.muttdata.ai/) to learn more about our culture and the exciting projects we’re working on! 🚀 ### Responsibilities 🤓 - Build pipelines, backends, frontends, and PoCs using GitHub Copilot and agents as your main tools. - Bring LLMs, RAG, and AI Agents into the platform to automate Data Engineering and operational tasks. - Design reusable capabilities and data pipelines for Data+. Implement automation, CI/CD, and Infrastructure as Code on AWS. - Integrate APIs and tools to make the platform increasingly self-service. ### Required 💻 - Experience Real experience building with generative AI: daily use of GitHub Copilot or similar, plus at least one project with LLMs, RAG, or agents. - Experience in Data Engineering, Data Platform, or Cloud Data Engineering. Strong Python and SQL. - Experience with AWS and data pipelines. - Comfort moving between pipelines, backend, and frontend, and shipping a PoC quickly. Knowledge of Git, CI/CD, and Infrastructure as Code. - Availability to work from the client's office in Buenos Aires City (CABA) at least once a week. ### Nice to Haves 💻 - Experience with Redshift, Glue, Lake Formation, dbt, Terraform, Data Mesh/Lakehouse, Vector Databases, agent frameworks, or Spec-Driven Development. ### 🎁 Perks - **🚀** In-Company **English Lessons.** - **💪 Wellhub or sports club** stipend to stay active - **🚀 AWS, DBT, Google Cloud, Azure & Databricks** certifications fully covered - 🍕 **Food credits via Pedidos Ya** – because great work deserves great food. - **🎂 Birthday off** + an extra vacation week (Mutt Week! 🏖️) - **🤝 Referral bonuses** – help us grow the team & get rewarded! - ✈️**🏝️ Annual Mutters' Trip** – an unforgettable getaway with the team! - **👶 Monthly Childcare Reimbursement** – Because supporting families matters too