Senior AI Engineer
Posted Updated 3
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Summary
Build agentic AI systems using frontier LLMs, document AI pipelines, and RAG for legal/contract analysis, while collaborating with stakeholders to deliver production-grade solutions.
🚀 Join Our Data Products and Machine Learning Development Remote Startup! 🚀
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! 🐶🚀
🚀 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 🤓
- 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 💻
- 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! 🏖️)
- 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!
Skills
As published by lever · 10 questions · 7 written answers
Basics
Resume/CV, Full name, Email, Phone, Current location, Current company, LinkedIn URL, GitHub URL, Other URL
Pick from a list (3)
- Do you currently reside in Latin America? (This is a mandatory requirement for this role. If you do not currently reside in Latin America, your application will not be considered.)
- Where did you hear about us? optional
- English Level
Written answers (7)
- Describe about your relevant experience in the role
- Do you have professional experience shipping and operating AI systems in production (not just prototypes or notebooks)?
- Do you have hands-on experience with cutting-edge LLM APIs (OpenAI, Anthropic, Google, etc.) and with any agent SDKs in production?
- Do you have experience designing or building agent systems (agent loops, tool use, agent skills, MCP servers)?
- How many years of experience do you have working with LLMs / generative AI in production projects?
- Study/Degree optional
- Gross salary expectations (or USD net)
