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Senior AI Engineer

Role overview

Qualifications

  • Strong Python experience building production-grade AI systems
  • Hands-on experience with LLMs, AI Agents, and Agentic AI
  • Deep understanding of RAG architectures, knowledge graphs, and multimodal data parsing
  • Ability to design and deploy scalable AI solutions in production

Responsibilities

  • Design and build production-grade AI agents and LLM-powered systems
  • Develop multimodal data ingestion and structured information extraction pipelines for unstructured data sources
  • Integrate AI agents with tools, APIs, data sources, and MCP
  • Own AI solutions end-to-end, from requirements and architecture to deployment and optimization

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 Data Products and Machine Learning Development Remote Startup! πŸš€
 
Mutt Data is a dynamic startup committed to crafting innovative systems using cutting-edge Big Data and Machine Learning technologies.
 
We’re looking for a Senior AI Engineer  to help take our expertise to the next level. If you consider yourself a data nerd like us, we’d love to connect! πŸΆπŸš€

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€“
  • Design and build production-grade AI agents and LLM-powered systems.
  • Develop multimodal data ingestion and structured information extraction pipelines for unstructured data sources.
  • Integrate AI agents with tools, APIs, data sources, and MCP.
  • Build evaluation and testing frameworks to improve accuracy and reduce hallucinations.
  • Own AI solutions end-to-end, from requirements and architecture to deployment and optimization.

  • Required Skills πŸ’»
  • Strong Python experience building production-grade AI systems.
  • Hands-on experience with LLMs, AI Agents, and Agentic AI.
  • Experience with MCP, tool calling, and LLM orchestration frameworks.
  • Deep understanding of RAG architectures, knowledge graphs, and multimodal data parsing (e.g., audio, images, unstructured documents).
  • Experience with LLM evaluation, hallucination control, and testing.
  • Ability to design and deploy scalable AI solutions in production.
  • Advanced English and strong communication skills.

  • 🎁 Perks
  • Remote-first culture – work from anywhere! 🌍
  • AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
  • Birthday off + an extra vacation week (Mutt Week! πŸ–οΈ)
  • Referral bonuses – help us grow the team & get rewarded!
  • Maslow: Monthly credits to spend in our benefits marketplace.
  • ✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!
  • 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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