Type

Full-time

About this role

🚀 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 Data Platform & AI Engineer to join our team 🐶🚀. You'll use GitHub Copilot and agents as everyday tools, 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.

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.
Amazon Web Services

Astronomer

Databricks
📊 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! 🚀

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.
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.
Experience with Redshift, Glue, Lake Formation, dbt, Terraform, Data Mesh/Lakehouse, Vector Databases, agent frameworks, or Spec-Driven Development.
🌍 Remote-first cultur e – work from anywhere!