Backend engineer in AI systems

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

Описание:

We're partnering with an ambitious AI venture, backed by an initial $100M investment, on a mission to transform how billions of people interact with technology. The company is building a new generation of AI-native, agent-first applications that proactively understand user needs, manage everyday tasks and execute complex workflows with minimal prompting. Combining substantial financial backing with the speed and autonomy of an early-stage startup, they're looking for an exceptional Backend Engineer - AI Systems

Задачи:

Design and scale high-throughput, low-latency backend systems and APIs.

Build AI inference pipelines and orchestration layers integrating LLMs, embeddings and multimodal models.

Optimise latency, throughput and cost through caching, batching and streaming.

Develop reliable infrastructure supporting complex, long-running AI workflows.

Own system reliability, monitoring, observability and production performance.

Work closely with AI/ML and product engineers to ship new capabilities.

Требования:

Strong backend engineering experience building scalable, production-grade systems.

Proficiency in Python and/or Node.js.

Experience with distributed systems, high-throughput services and API development.

Exposure to production AI/ML systems, LLM inference or model orchestration.

Strong understanding of performance optimisation, reliability and production debugging.

Experience with cloud infrastructure, Docker, Kubernetes and SQL/NoSQL databases.

Условия:

$100M initial backing — Significant resources to pursue an ambitious global vision.

Build AI products for billions — Help create the next generation of proactive, autonomous consumer applications.

Genuine technical ownership — Shape the infrastructure and architecture from an early stage.

Cutting-edge engineering — Solve complex challenges involving AI inference, distributed systems and large-scale orchestration.

Small, world-class team — Work alongside exceptional engineers with the pace and autonomy of a startup.