Note: The job is a remote job and is open to candidates in USA. Dice is seeking talented AI Backend Engineers to build systems that power AI-driven decisioning, automation, and orchestration across their platform. This fully remote role is part of a global engineering team focused on building reliable, scalable AI systems.

Responsibilities

• 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

Skills

• 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

Benefits

• Medical insurance
• Dental
• Vision
• Savings Plan Options
• PTO

Company Overview

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