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
