
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're looking for a proactive, technically strong AI Backend Engineer (Python) — Forward Deployed to join our team 🐶🚀. You'll work on a strategic project for one of our banking clients, embedded within the bank's AI platform team, taking LLM-based agents into production across the bank's business units.
This is an embedded role: you join a team that has an agent to build or deploy, build it on top of the platform's scaffolding (LangGraph, LiteLLM, Langfuse), take it to production through the bank's controls, and leave the team able to operate it on their own. Once that agent is live, you move on to the next team. What you learn in each rotation feeds back into the platform as improvements to the template, observability, and deployment process.
This role requires strong ownership, solid architectural judgment, and the ability to build systems that are secure, performant, and built to scale. You'll collaborate closely with cross-functional teams in a fast-paced, high-standards environment typical of the financial industry.

We build scalable AI and data systems that drive long-term business growth, blending technical excellence with a sharp focus on client needs to deliver smarter business outcomes.
We have successfully completed over 200 AI projects, ranging from data platforms and architectures to building AI systems. Our notable customers include Mercado Libre, ClassDojo, Clip, MODO and many others. Additionally, we are AWS Advanced Consulting Partners and the only one in the SOLA region with the AWS Advertising and Marketing Technologies Competency. What’s more, we’re proud to have been recognized as Databricks’ LATAM AI Enterprise Partner of the Year (2025).
Our mission is to guide companies to an AI-fueled future.
We Transform Data into AI that Scales.
In short, we are #DataNerds.