AI Backend Engineer

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.

Qualifications:

• 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).

Outcomes:

• 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.