AI Systems Backend Engineer - Scale AI Workflows

Stott and May Inc.; United States; Remote; USD 150,000 - 230,000; Full time

Job summary

Stott and May Inc. partners with an ambitious AI venture to recruit a Backend Engineer - AI Systems.

This role focuses on designing and scaling high‑throughput backend services and APIs, building AI inference pipelines, and orchestrating LLMs and multimodal models for a global user base. You will optimize latency and cost while ensuring reliability and production readiness, collaborating with AI/ML and product engineers to ship advanced capabilities at startup speed supported by substantial

Qualifications

• Experience designing scalable production-grade backend systems.
• Proficiency in Python and/or Node.js.
• Experience with cloud infrastructure and containerization.
• Familiarity with AI/ML production environments.

Responsibilities

• Design and scale high-throughput, low-latency backend systems and APIs.
• Build AI inference pipelines and orchestration layers.
• Optimize latency, throughput and cost via caching, batching, streaming.
• Develop reliable infrastructure for long-running AI workflows.
• Own system reliability, monitoring, observability and performance.
• Collaborate with AI/ML and product teams to ship capabilities.

Skills

Backend engineering

Python

Node.js

Distributed systems

API development

AI/ML systems

Cloud infrastructure

Docker

Kubernetes

SQL/NoSQL databases

Tools

Docker

Kubernetes

Job description

Stott and May Inc. partners with an ambitious AI venture to recruit a Backend Engineer - AI Systems.

This role focuses on designing and scaling high‑throughput backend services and APIs, building AI inference pipelines, and orchestrating LLMs and multimodal models for a global user base. You will optimize latency and cost while ensuring reliability and production readiness, collaborating with AI/ML and product engineers to ship advanced capabilities at startup speed supported by substantial