Remote Enterprise AI Engineer — LLMs & Automation

Aimlroles; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Remote First Work Environment (US Base

Medical, Dental, Vision

401K, 401K Match

Life and Disability Benefits

Unaccrued Paid Time Off

11 Paid Holidays

Employee Discounts

Employee Assistance Program

Educational Assistance Program

Employee Referral Program

Paid Parental Leave

Job summary

Mission Underwriting Services is seeking an Applied AI Engineer to design, implement, and scale its enterprise AI platform. You will work on AI agents, LLM integration, vector databases, and secure, scalable AI services across underwriting and operations.

You'll collaborate with product and engineering teams to translate business needs into production-ready AI solutions, apply governance, and ensure responsible AI practices in a fast-paced, remote-first environment.

Qualifications

• 3+ years in software/AI engineering with production AI experience.
• Hands-on experience with LLMs, AI agents, and orchestration frameworks.
• Experience deploying AI features with cloud-native tech.

Responsibilities

• Design, develop, and deploy production-grade AI solutions using LLMs and AI agents.
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• Build intelligent workflows that automate business processes across functions.
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• Develop scalable AI services and modern cloud-native architectures.
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• Integrate AI with enterprise platforms (policy management, data platforms, document management).
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• Implement prompt engineering, orchestration, vector databases, and knowledge retrieval.

Skills

Python/JS

LLMs & AI agents

REST APIs

Cloud-native

CI/CD

MLOps

Databricks/SQL

Education

Bachelor's degree in CS or related

Tools

Git

GitHub/GitLab

Databricks

MongoDB

SQL Server

Job description

Mission Underwriting Services is seeking an Applied AI Engineer to design, implement, and scale its enterprise AI platform. You will work on AI agents, LLM integration, vector databases, and secure, scalable AI services across underwriting and operations.

You'll collaborate with product and engineering teams to translate business needs into production-ready AI solutions, apply governance, and ensure responsible AI practices in a fast-paced, remote-first environment.