Next Step Systems

AI Backend Engineer, Work From Home

Rol remoto de AI Backend Engineer con fit claro de ubicación del candidato.

Publicado4 jul 2026

Países elegibles1 país aceptado

Señal de senioritySenior

Modelo de trabajoRemoto

Ubicaciones aceptadas para candidatos

Estados Unidos

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Actualidad de la fuente4 jul 2026

Fit de ubicación1 país aceptado

Match de stackDocker, Kubernetes

Camino de aplicaciónSitio de la empresa

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Match de stackAgrega skills al perfil para compararDocker, Kubernetes

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Aplicación

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Aplicando aAI Backend Engineer, Work From HomeNext Step Systems

Fit de país1 país aceptado

Camino de aplicaciónSitio de la empresa

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Resumen del rol

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Build and operate backend systems that serve AI-powered insurance workflows in production.
Design and implement AI orchestration layers that connect models, APIs, workflows, and business logic.
Build inference pipelines for LLM-based and AI-assisted automation systems.
Optimize latency, throughput, and cost across AI services (caching, batching, streaming, routing).
Design stable service boundaries between backend systems, ML components, and product APIs.
Implement observability: logging, metrics, tracing, alerting, and incident response workflows.
Debug production issues across distributed AI systems and resolve root causes.
Collaborate closely with frontend, product, operations, and ML teams to ship end-to-end features.
Continuously improve system reliability, scalability, and performance.

AI backend systems run reliably at scale with low latency and high availability.
AI workflows are stable, observable, and production-ready across multiple products.
System performance improves continuously through real-world feedback and optimization.
Production incidents are quickly detected, diagnosed, and resolved.
AI capabilities are seamlessly integrated into global customer and internal workflows.

Strong backend engineering experience in production systems.
Experience building or operating high-throughput, low-latency services.
Familiarity with AI Systems (LLMs, Embeddings, or AI Workflows).
Experience with distributed systems and production debugging.
Strong understanding of APIs, data flows, and system design principles.
Experience with observability tools (logging, monitoring, tracing).
Strong ownership mindset and bias toward shipping.
Comfortable working in fast-paced, globally distributed teams.
Tech Stack: Anthropic, Artificial Intelligence (AI), Distributed Systems Tooling, Docker, Kubernetes, LLM APIs, Node.js, NoSQL, Observability Tools, OpenAI, Open-Source Models, Python, SQL.

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