Senior AI Engineer - Production AI & LLM Systems

PURE Insurance; City of White Plains (NY); On-site; USD 85,000 - 105,000; Full time

Job summary

PURE Insurance is seeking an AI & Engineering professional to transform technology platforms, drive innovation, and improve operations across underwriting, claims, member experience, and risk management. You will ship production pipelines, APIs, and containerized services for model training, real-time inference, and governance in a security-conscious environment.

You will collaborate with senior architects and data engineers to deliver reusable AI agent skills, tool definitions, and

Qualifications

• 5+ years of professional software engineering experience, with at least 1 year building and operating AI/ML systems in production.
• Hands-on experience with LLMs: prompt engineering, RAG, tooling, and orchestration.
• Strong Python engineering skills and production-grade API development.
• Experience with cloud-native AI workloads and cost governance at scale.

Responsibilities

• Design, build, and deploy secure, scalable AI solutions: APIs, services, pipelines, agents, containers.
• Operate LLM-enabled products including copilots and knowledge bases across Databricks and AWS.
• Implement end-to-end RAG, embeddings, and document intelligence patterns with telemetry.
• Own CI/CD, testing, monitoring, and incident response for AI platforms.

Skills

Python

FastAPI

LLM tooling

AWS

Databricks

Docker

CI/CD

GitHub Copilot

Observability

Tools

AWS ECS

Terraform

Databricks

Job description

PURE Insurance is seeking an AI & Engineering professional to transform technology platforms, drive innovation, and improve operations across underwriting, claims, member experience, and risk management. You will ship production pipelines, APIs, and containerized services for model training, real-time inference, and governance in a security-conscious environment.

You will collaborate with senior architects and data engineers to deliver reusable AI agent skills, tool definitions, and