Build scalable APIs and microservices that serve ML models in production with low latency and high availability.
Work with the product engineering teams to implement reliable integrations with LLM APIs (Claude, GPT, Gemini).
Implement monitoring, measurement, and observability systems for AI workflows to ensure reliability and performance.
Build the integration points between the AI/ML Platform stack and the core application, supporting product development and long term technological investment.
Support data pipeline development and maintenance that enable ML model training and inference.

Requirements

5+ years building scalable backend systems (Python, NestJS, etc.).
Experience integrating external APIs at scale, including rate limiting, retry logic, and error handling.
Experience with containerization (Docker) and cloud platforms (GCP, or Azure).
U.S. citizenship with the ability to pass a Federal Background Check and Identity Verification.
While formal education is not a strict requirement, a Bachelor's or Master’s degree in Computer Science, Engineering, or a related field is preferred.

Benefits

Competitive salary with stock options in a rapidly growing, venture-backed company.
Comprehensive health plan, ensuring you and your loved ones are well taken care of.
Flexible work arrangements, including full remote work capabilities, to balance your professional and personal life.
Extensive professional development opportunities, providing a fast track for career advancement.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonNestJSAPI developmentmicroservicescontainerizationDockercloud platformsGCPAzuredata pipeline development