7-9 años de exp.
Híbrido
Full timeMonterrey, México
About the Role
Would you like to help transform how creators get paid in the music industry? We’re looking for a Senior Full Stack AI Engineer to build and scale an AI-native platform that automates royalty reconciliation and brings more transparency to artists, collaborators, and rights holders.
In this role, you’ll work across the full stack, from improving a Python-based AI document parser to contributing to a Node.js API and building React interfaces. You’ll play a key role in improving data accuracy, optimizing AI-driven workflows, and taking the platform beyond MVP into a reliable, scalable product.
About You
You have strong experience building production-grade systems using Python and JavaScript or TypeScript.
You enjoy solving complex data problems, especially those involving AI, document parsing, and real-world edge cases.
You are comfortable working across the stack, even if your strongest focus is Back End or AI systems.
You communicate clearly with engineers, designers, and product stakeholders.
You take ownership of systems and continuously improve reliability, performance, and accuracy.
You care about building technology that creates measurable impact for creators and collaborators.
What You’ll Be Doing
Own and improve an AI-powered document parser, including prompt engineering and data normalization accuracy.
Design and implement automated test suites to validate AI outputs and ensure data correctness.
Build and optimize caching strategies to reduce redundant AI calls and improve platform performance.
Implement logging, monitoring, and alerting systems to detect silent data errors.
Develop AI-driven features such as narrative reports, song matching, and confidence scoring systems.
Contribute to Back End development by implementing APIs, business logic, and webhook integrations.
Collaborate on Front End implementation using React, ensuring accurate and responsive UI delivery from design specs.
Handle complex data pipeline edge cases, including malformed files and inconsistent formats.
Improve system reliability, scalability, and maintainability across AI, Back End, and Front End components.
Participate in architecture discussions, code reviews, and technical planning for product growth.
What We’re Looking For
A proactive, ownership-driven mindset with strong attention to detail.
Ability to debug complex, multi-layered systems and identify root causes.
Strong analytical thinking, especially when evaluating AI output quality.
Effective time management and prioritization in a fast-paced environment.
Continuous learning mindset, particularly around AI technologies and best practices.
Clear communication and collaboration across technical and non-technical teams.
Technical Requirements
Must-Haves
8+ years of experience as a Full Stack Engineer.
5+ years of experience with Python in production environments.
4+ years of experience with Node.js and TypeScript.
4+ years of experience with React and TypeScript.
3+ years of experience with PostgreSQL, including complex queries and schema design.
Hands-on experience with LLM APIs such as Anthropic Claude, OpenAI, or similar providers.
Strong experience with prompt engineering and structured AI outputs.
Experience building and consuming REST APIs.
Experience with Docker and CI/CD pipelines such as GitHub Actions.
Strong understanding of production-grade engineering practices, including testing, observability, and performance optimization.
Nice-to-Haves
Experience with FastAPI or Flask for microservices.
Familiarity with Redis for caching and job queues.
Experience with AWS services and cloud infrastructure.
Knowledge of data pipelines, logging systems, and monitoring tools.
Exposure to multiple LLM providers and cross-API implementations.
Familiarity with royalty systems, music rights, financial reconciliation, or data-heavy SaaS platforms.