Sr. Backend Engineer, AI

Procurement Sciences

23h • Remote

About The Position

We are seeking a Senior 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.

Requirements

• 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.

Nice To Haves

• Experience with event-driven architectures and async processing patterns.
• Knowledge of cost optimization strategies for cloud-based AI services.
• Experience serving ML models in production (MLflow, TensorFlow Serving, or similar platforms).
• Familiarity with vector databases (Pinecone, Vespa, Qdrant) from an infrastructure perspective.

Responsibilities

• 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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 51-100 employees