Senior AI Engineer: Production AI & Innovation Leader

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

Job summary

PURE Insurance is seeking an experienced engineer to join its AI & Engineering team, delivering production AI/ML pipelines, APIs, and agent-based services. You will work across data, model training, and real-time inference, ensuring governance, security, and cost efficiency.

You will partner with architects and data engineers to ship LLM-enabled products and maintain observability, SLOs, and compliance across the full lifecycle of AI platforms.

Qualifications

• 5+ years of professional software engineering experience, with at least 1 year building and operating AI/ML systems in production.
• Experience with LLMs: prompt engineering, RAG pipelines, and function/tool calling.
• Hands-on experience with AI-assisted software engineering tools such as Claude Code, OpenAI Codex, GitHub Copilot.

Responsibilities

• Design, build, and deploy secure, scalable AI solutions: APIs, services, pipelines, agents, containers, and serverless functions.
• Implement trust, safety, and governance controls in AI systems and ensure regulatory compliance.
• Drive CI/CD, testing, versioning, reproducibility, and deployment standards across AI systems.
• Collaborate with Engineering, Product, Data Science, Compliance, and business operations to translate needs into AI-powered solutions.

Skills

Software engineering

Python

LLM platforms

Cloud AWS

CI/CD

Tools

AWS ECS

Databricks

LangChain

LangGraph

Docker

Terraform

GitHub Copilot

Claude Code

OpenAI Codex

Job description

PURE Insurance is seeking an experienced engineer to join its AI & Engineering team, delivering production AI/ML pipelines, APIs, and agent-based services. You will work across data, model training, and real-time inference, ensuring governance, security, and cost efficiency.

You will partner with architects and data engineers to ship LLM-enabled products and maintain observability, SLOs, and compliance across the full lifecycle of AI platforms.