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Data Platform & AI Engineer

Role overview

Qualifications

  • 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.

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.

Key facts

Hard skills

Other skills

  • Collaboration
  • Problem Solving
  • Decision Making

About the company

MUTT DATA logo

MUTT DATA

Artificial Intelligence & Machine Learning Services

Mutt Data is a technology company that helps startups and big companies build and implement Machine Learning solutions that drive real business results. Whether you work in finance, insurance, advertising, telcos, on-demand services or e-commerce, our solutions will help you get ahead of your competition with the latest technologies, techniques and best practices We Are Astronomer & Amazon Consulting Partners. We Are #DataNerds.

Company details

Company typeScaleup
IndustryArtificial Intelligence & Machine Learning Services
Company size51 - 200

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Job description

πŸš€ Join Our Remote Data Products & Machine Learning Startup! πŸš€
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 πŸΆπŸš€. 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 β€” on top of a solid Data Engineering, Cloud, and Platform Engineering foundation.


πŸš€ 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
  • πŸ“Š We are Data Nerds
  • πŸ€— We are Open Team Players
  • πŸš€ We Take Ownership
  • 🌟 We Have a Positive Mindset
  •   πŸ” 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! πŸš€
    Responsibilities πŸ€“
  • 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 SkillsπŸ’»
  • 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 πŸ’»
  •  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!
  • πŸš€ In-Company English Lessons.
  • πŸ’ͺ Wellhub or sports club stipend to stay active
  • πŸš€ AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
  • πŸ• Food credits via Pedidos Ya – because great work deserves great food.
  • πŸŽ‚ Birthday off + an extra vacation week (Mutt Week! πŸ–οΈ)
  • 🀝 Referral bonuses – help us grow the team & get rewarded!
  • ✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!
  • πŸ‘Ά Monthly Childcare Reimbursement  – Because supporting families matters too
  • Apply once. Then go straight to the hiring manager.

    After you apply, unlock the direct contact details of the people who actually make the call. A quick follow-up makes you 5x more likely to land an interview.

    MR

    Marcus Rivera

    Chief Revenue Officer

    m.rivera@company.com
    linkedin.com/in/marcusrivera
    Unlocked after you apply
    Β·

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