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# Backend Engineer

- **Company:** Blueprint School Network, Inc.
- **Location:** United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Software Applications, Software Debugging, Distributed Systems, Python (Programming Language), Machine Learning, Node.Js, Open Source Technology, Software Engineering, AI Infrastructure, Data Logging, Large Language Models, Reliability of Systems, Backend, Low Latency, Performance Monitor
- **Published:** September 5, 2026
- **Apply:** https://soweloconsulting.applytojob.com/apply/0KN6ctprxK/Backend-Engineer-Fully-Remote?source=GS

## About the Role

Do you excel at solving complex backend challenges like streaming responses, intelligent batching, low-latency caching, and API optimization under heavy load?

Are you looking for a high-impact backend role where system reliability, cost efficiency, and ultra-low latency directly drive the product experience?, * Proven background in core backend software engineering within production environments. ( Python, Node.js)

 * Infrastructure Experience with Docker, Kubernetes
 * Practical experience building and maintaining high-throughput, low-latency distributed microservices.
 * Solid understanding of modern AI inference patterns, including LLMs, vector embeddings, and multimodal architectures.
 * Hands-on experience debugging and profiling complex distributed systems operating under heavy load.
 * Familiarity with commercial AI APIs (e.g., OpenAI, Anthropic) as well as self-hosted open-source models.
 * Production-focused mindset with a strong bias toward shipping, observing live system behavior, and iterating quickly.

## Description

Our clients mission is to fundamentally change the productivity landscape around email, calendars and note taking by developing proactive, AI-native applications designed for the general public. We are bringing seamless intelligence to workflows, scheduling, and daily errands, all without requiring users to master complex prompting., * Build and operate scalable backend systems that serve AI-powered features in production.

 * Design high-performance inference pipelines, orchestration workflows, and clear service boundaries around ML models.
 * Own system health and observability, including performance monitoring, structured logging, alerting, and incident response.
 * Optimize system latency and throughput through intelligent caching strategies, request batching, and response streaming.
 * Collaborate with client and machine learning engineers to deliver stable, high-efficiency APIs for mobile and desktop applications.


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- [Building AI Applications with LangChain and Node.js](https://www.wearedevelopers.com/videos/1512-building-ai-applications-with-langchain-and-node-js)
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