Procurement Sciences AI

Senior Backend Engineer, AI

Procurement Sciences AI

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Job Level

Senior

Tech Stack

AWSAzureCloudDockerGoogle Cloud PlatformKafkaMicroservicesPostgresPythonRabbitMQRedisTensorflow

About the role

  • 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.
  • Build scalable APIs and microservices that serve ML models in production with low latency and high availability.
  • Work with the core engineering team to implement reliable integrations with LLM APIs (Claude, GPT, Gemini).
  • Implement monitoring, logging, 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 core product development and long term technological investment.
  • Support data pipeline development and maintenance that enable ML model training and inference.
  • Ideal Candidate: 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.
  • Required Experience: 5+ years building scalable backend systems (Python, NestJS, etc.).
  • Experience integrating external APIs at scale, including rate limiting, retry logic, and error handling.
  • Proven track record with databases (PostgreSQL, Redis) and message queues (RabbitMQ, Kafka, or similar).
  • Experience with containerization (Docker) and cloud platforms (AWS, GCP, or Azure).
  • Understanding of monitoring and observability tools (DataDog, New Relic, or similar).

Requirements

  • 5+ years building scalable backend systems (Python, NestJS, etc.).
  • Experience integrating external APIs at scale, including rate limiting, retry logic, and error handling.
  • Proven track record with databases (PostgreSQL, Redis) and message queues (RabbitMQ, Kafka, or similar).
  • Experience with containerization (Docker) and cloud platforms (AWS, GCP, or Azure).
  • Understanding of monitoring and observability tools (DataDog, New Relic, or similar).
  • 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.