remote
Applied AI Engineer, Fullstack - Ramp
AI Engineer
Lead the design and deployment of AI-driven features across the full stack, integrating machine learning models into production services and user interfaces, while ensuring scalability, reliability, and security on AWS.
About the role
Key Responsibilities
- Design, develop, and maintain end‑to‑end AI solutions that power finance automation features.
- Implement and expose machine learning models via RESTful APIs using Python and Node.js.
- Collaborate with front‑end engineers to integrate predictive insights into React components.
- Deploy and monitor services on AWS (ECS/EKS, Lambda, S3, RDS) ensuring high availability and performance.
- Write unit, integration, and performance tests; participate in code reviews and continuous integration pipelines.
Requirements
- 5+ years of full‑stack development experience with Python and Node.js.
- Strong background in machine learning, including model training, evaluation, and deployment.
- Hands‑on experience with AWS services and infrastructure as code.
- Proficiency in React and modern front‑end tooling.
- Excellent problem‑solving skills and a passion for building scalable, data‑driven products.
Skills
pythonnodejsmachine learningawsreact