AI Data Engineer

🚀 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 case studies and dive into our blog post 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