Full Stack AI Engineer

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 delivers 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 implementing React interfaces. You’ll play a key role in improving data accuracy, optimizing AI-driven workflows, and accelerating the platform beyond 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 are passionate about continuously improving reliability, performance, and accuracy.
• What You’ll Be Doing
• 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 data correctness (>95% accuracy).
• Build and optimize caching strategies to reduce redundant AI calls and improve overall performance.
• Implement robust 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 implementation using React, ensuring accurate and responsive UI delivery from design specs.
• Handle complex data pipeline edge cases, including malformed files and inconsistent data formats.
• What We’re Looking For
• A proactive, ownership-driven mindset coupled with strong attention to detail.
• The ability to debug complex, multi-layered systems and successfully identify root causes.
• Strong analytical thinking, especially when evaluating and improving AI output quality.
• Effective time management and prioritization skills to thrive in a fast-paced environment.
• A continuous learning mindset, particularly around evolving AI technologies and industry 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 (Anthropic Claude, OpenAI, or similar).
• Strong experience in prompt engineering and generating structured AI outputs.
• Proven experience building and consuming REST APIs.
• Solid 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.