Remote Applied AI Engineer: Enterprise AI Solutions

mission-us; United States; Remote; USD 140,000 - 180,000; Full time

Job summary

Mission is seeking an Applied AI Engineer to design, implement, and scale its enterprise AI platform with AI agents, LLMs, and modern ML techniques. You will build production-grade AI applications and AI-powered workflows across underwriting, operations, finance, and HR.

The role emphasizes secure, scalable AI solutions, governance, and operational excellence while collaborating with product owners and engineers to translate business needs into robust AI capabilities.

Qualifications

• 3+ years in software/AI engineering with 2+ years delivering production AI solutions.
• Hands-on with LLMs, AI agents, memory/context management, orchestration.
• Experience deploying AI features using cloud-native tech.
• Strong Python/JavaScript and REST API development for scalable apps.
• Experience integrating AI with enterprise systems via REST APIs and event-driven patterns.

Responsibilities

• Design, develop, and deploy production-grade AI solutions using LLMs, AI agents, and ML techniques.
• Build AI-powered workflows automating business processes across functions.
• Maintain scalable AI services using modern cloud-native architectures.
• Integrate AI with enterprise platforms (policy management, data, docs).
• Implement prompt engineering, orchestration, vector DBs, and knowledge retrieval.

Skills

Python

JavaScript

REST APIs

Distributed systems

MLOps

Cloud

Git

CI/CD

AI/ML

Security

Education

Bachelor's degree in CS/SE

Tools

Databricks

SQL Server

GitHub

Job description

Mission is seeking an Applied AI Engineer to design, implement, and scale its enterprise AI platform with AI agents, LLMs, and modern ML techniques. You will build production-grade AI applications and AI-powered workflows across underwriting, operations, finance, and HR.

The role emphasizes secure, scalable AI solutions, governance, and operational excellence while collaborating with product owners and engineers to translate business needs into robust AI capabilities.