Data Platform & AI Engineer
Muttdataยทabout 1 month ago
๐ Join Our Remote Data Products & Machine Learning Startup! ๐
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 ๐ถ๐. 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 โ on top of a solid Data Engineering, Cloud, and Platform Engineering foundation.
๐ 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.
๐ Our Partnerships
- Amazon Web Services
- Astronomer
- Databricks
๐ Our Values
Responsibilities ๐ค
- 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 Skills๐ป
- 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 ๐ป
- Experience with Redshift, Glue, Lake Formation, dbt, Terraform, Data Mesh/Lakehouse, Vector Databases, agent frameworks, or Spec-Driven Development.
๐ Perks
- ๐ Remote-first culture โ work from anywhere!
- ๐ In-Company English Lessons.
- ๐ช Wellhub or sports club stipend to stay active
- ๐ AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
- ๐ Food credits via Pedidos Ya โ because great work deserves great food.
- ๐ Birthday off + an extra vacation week (Mutt Week! ๐๏ธ)
- ๐ค Referral bonuses โ help us grow the team & get rewarded!
- โ๏ธ๐๏ธ Annual Mutters' Trip โ an unforgettable getaway with the team!
- ๐ถ Monthly Childcare Reimbursement โ Because supporting families matters too
Market context
Measured from remote postings we have tracked ourselves โ not self-reported survey data.
What Mid Level Engineering roles in Americas pay
- 25th
- $108k
- Median
- $144k
- 75th
- $175k
Based on 5,965 comparable postings with disclosed salaries, last 12 months.
How Muttdata is hiring
- Last 90 days
- 18 roles
- Total tracked
- 56
- Hiring across
- 5 job families
Tracked since March 2023.