Data Platform & AI Engineer
Summary
Leads the architecture and modernization of data platforms for banking clients, using Python, microservices, and modern data stack (dbt, Redshift, orchestration) while guiding teams through legacy and cloud environments.
🚀 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.
🚀 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
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 Skills💻
- 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.
Nice to Haves 💻
- Experience with Redshift, Glue, Lake Formation, dbt, Terraform, Data Mesh/Lakehouse, Vector Databases, agent frameworks, or Spec-Driven Development.
🎁 Perks
- 🌍 Remote-first culture – work from anywhere!
- 🚀 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
Skills
As published by lever · 8 questions · 6 written answers
Basics
Resume/CV, Full name, Email, Phone, Current location, Current company, LinkedIn URL, GitHub URL, Other URL
Pick from a list (2)
- ¿Con cuál de estos stacks te sentís más fuerte hoy? optional
- Nivel de ingles optional
Written answers (6)
- ¿Qué herramientas de IA utilizás en tu trabajo diario (por ejemplo Cursor, GitHub Copilot, ChatGPT, Claude, Gemini)? ¿Para qué las usás habitualmente? optional
- ¿Participaste escribiendo ADRs, RFCs o documentación técnica para decisiones de arquitectura? Contanos un ejemplo. optional
- ¿Cuál fue la decisión de arquitectura más difícil que tomaste o ayudaste a tomar en los últimos dos años? ¿Por qué era compleja? optional
- Formacion Academica optional
- Salario pretendido en pesos bruto (ARS) optional
- Residis en Argentina? Es requisito excluyente para esta vacante optional
