Backend Engineer, Procurement Sciences AI

• Strong systems thinking with experience designing scalable backend architectures
• Experienced in SaaS environments and understands the operational challenges of serving ML models in production
• Pragmatic engineer who prioritizes reliability and performance over experimenting with the latest frameworks
• Collaborative mindset with strong communication skills
• 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

Desirable

• We are seeking a Backend Engineer to build the infrastructure and systems that power our AI/ML features in production
• In this role, you will design and implement scalable APIs, services, and monitoring systems that enable our ML team to deploy models reliably at scale
• You will focus on the platform layer that makes AI workflows fast, reliable, and observable, working closely with our ML engineers to translate their models into production-ready services that serve thousands of users
• 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