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 at a U.S.-based music technology company that automates royalty reconciliation and brings transparency to artists and collaborators.
In this role, you’ll work across the full stack—from enhancing 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 evolving the platform from MVP into a robust, scalable product.
About You
You have strong experience building production-grade systems using Python and JavaScript/TypeScript.
You enjoy solving complex data problems, especially those involving AI and real-world edge cases.
You are comfortable working across the stack, even if you specialize in backend or AI systems.
You communicate effectively with engineers, designers, and product stakeholders.
You take ownership of systems and continuously improve reliability, performance, and accuracy.
What You’ll Be D oing
Own and improve an AI-powered document parser, enhancing prompt engineering and data normalization accuracy.
Design and implement automated test suites to validate AI outputs and ensure high data correctness (>95%).
Build and optimize caching strategies to reduce redundant AI calls and improve system 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 backend development by implementing APIs, business logic, and webhook integrations.
Collaborate on frontend development using React, ensuring accurate and responsive UI delivery from design specifications.
Handle complex data pipeline edge cases, including malformed files and inconsistent formats.
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.
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 OpenAI, Anthropic Claude, or similar.
Strong experience in prompt engineering and generating structured AI outputs.
Experience building and consuming REST APIs.
Experience with Docker and CI/CD pipelines (e.g., GitHub Actions).
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.