Remote Enterprise AI Engineer: LLMs, Automation & Scale

Mission Underwriting Managers

United States

Remote

USD 120,000 - 180,000

Full time

14 days+
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Benefits offered by this job

401K
Life and Disability Benefits
11 Paid Holidays
Employee Discounts
Employee Assistance Program
Educational Assistance Program
Employee Referral Program

Job summary

Mission Underwriters is seeking an Applied AI Engineer to design, implement, and scale an enterprise AI platform. You will build production-grade AI applications, integrate LLMs, and enable AI-powered experiences across underwriting, operations, and finance.

This role focuses on secure, scalable AI solutions and governance while working with cross‑functional teams. Responsibilities include building intelligent workflows, deploying AI services, and evaluating foundation models for accuracy,

Qualifications

  • 3+ years in software or AI engineering with production AI experience.
  • Experience with LLMs, AI agents, memory management, and orchestration frameworks.
  • Experience deploying AI features with cloud-native tech.
  • Knowledge of enterprise data platforms and integration with enterprise systems.

Responsibilities

  • Design, develop, and deploy production-grade AI solutions using LLMs, AI agents, and orchestration.
  • Build AI-powered workflows across underwriting, operations, finance, and HR.
  • Develop scalable AI services with modern cloud-native architectures.
  • Integrate AI with policy administration, data platforms, and document management.

Education

Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience

Tools

Git/GitHub/GitLab
CI/CD
Infrastructure as Code
Databricks
SQL Server
REST APIs
Vector Databases

Job description

Mission Underwriters is seeking an Applied AI Engineer to design, implement, and scale an enterprise AI platform. You will build production-grade AI applications, integrate LLMs, and enable AI-powered experiences across underwriting, operations, and finance.

This role focuses on secure, scalable AI solutions and governance while working with cross‑functional teams. Responsibilities include building intelligent workflows, deploying AI services, and evaluating foundation models for accuracy,

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