AI Backend Engineer (LLM/AI Systems)

Next Step Systems

16m ago • Remote

Mid

Remote

140,000 - 200,000 USD/yr

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Potential salary for AI Backend Engineer (LLM/AI Systems) role

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$140,000 – $200,000/year

Quick Facts

  • Role: AI Backend Engineer (LLM/AI Systems)

  • Work mode: Fully remote (U.S. only)

Description

You will build and operate backend systems that power AI-driven decisioning, automation, and orchestration across the platform, connecting models, APIs, workflows, and business logic. This role focuses on production-grade reliability and performance—latency, correctness, reliability, and cost directly impact the user experience. You will design AI orchestration layers and LLM inference pipelines for production insurance workflows.

Responsibilities

  • Build and operate backend systems serving AI-powered insurance workflows in production

  • Design and implement AI orchestration layers connecting models, APIs, workflows, and business logic

  • Build inference pipelines for LLM-based and AI-assisted automation systems

  • Optimize latency, throughput, and cost (caching, batching, streaming, routing)

  • Design stable service boundaries between backend systems, ML components, and product APIs

  • Implement observability (logging, metrics, tracing, alerting, incident response workflows)

  • Debug production issues across distributed AI systems and resolve root causes

  • Collaborate with frontend, product, operations, and ML teams to ship end-to-end features

  • Continuously improve system reliability, scalability, and performance

Requirements

  • Ability to prove U.S. residency

  • Willingness to complete a 60-minute coding assessment

  • Strong backend engineering experience in production systems

  • AI experience required

  • 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/metrics, tracing)

  • Strong ownership mindset and bias toward shipping

  • Comfort working in fast-paced, globally distributed teams

Benefits

  • Medical insurance

  • Dental

  • Vision

  • Savings plan options

  • PTO

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