Principal AI Engineer

Motion Recruitment; United States; On-site; USD 110,000 - 170,000; Full time

Job summary

Motion Recruitment partners with a leading provider of technology-enabled claims and risk management solutions to scale its AI engineering org. You will design, build and operate production Generative AI agents, workflows, and applications with backend Python services and modern frontend UIs.

The role emphasizes deployment, observability, and cross-team collaboration across enterprise systems in a fast-paced environment.

Qualifications

• Production-grade AI experience required.
• Hands-on experience shipping AI-powered apps or agents.
• Experience operating production software in cloud environments.

Responsibilities

• Design, build, deploy, and operate production Generative AI agents, workflows, and applications.
• Develop backend services and APIs using Python.
• Build user-facing apps with React or similar frameworks.
• Integrate AI solutions with enterprise systems and data platforms.
• Develop AI workflows with orchestration, tool use, and human-in-the-loop processes.
• Build and operate cloud-based solutions in AWS.
• Implement infrastructure as code with Terraform.
• Create CI/CD pipelines with GitHub Actions.
• Ensure authentication, logging, monitoring, and observability for production systems.
• Assess AI systems for correctness, reliability, and performance.
• Collaborate with business stakeholders to translate processes into software.
• Work with security, data, and vendor teams.

Skills

Generative AI

Full-stack

React/Frontend

REST APIs

AWS

Terraform

GitHub Actions

SQL

Observability

CI/CD

Production support

Tools

Neo4j

Job description

We're partnering with the world's leading provider of technology-enabled claims and risk management solutions to support the growth of its enterprise AI engineering organization.

We're seeking AI Engineers across multiple levels to build and operate production Generative AI agents, workflows, applications, and enterprise automation solutions. These are hands-on engineering opportunities focused on taking AI solutions from problem definition and development through production deployment and ongoing operation.

What You'll Do

• Design, build, deploy, and operate production Generative AI agents, workflows, and applications
• Develop backend services and APIs using Python
• Build user-facing applications using modern frontend frameworks such as React, Next.js, Vue, or comparable technologies
• Integrate AI solutions with enterprise applications, APIs, data platforms, and existing systems
• Develop AI workflows involving orchestration, tool use, state management, evaluation, and human-in-the-loop processes
• Build and operate cloud-based solutions in AWS
• Develop infrastructure as code using Terraform
• Build and maintain CI/CD pipelines using GitHub Actions
• Implement authentication, authorization, logging, monitoring, observability, and error handling for production systems
• Evaluate AI systems for correctness, reliability, performance, and failure modes
• Work directly with business and operational stakeholders to understand real-world processes and translate them into practical engineering solutions
• Collaborate with engineering, data, platform, security, and vendor teams
• Troubleshoot and optimize production AI solutions for reliability, latency, throughput, cost, and performance
• Contribute to shared AI capabilities and enterprise engineering standards

What We're Looking For

• Professional software engineering experience with hands-on development of production applications
• Hands-on experience building and shipping production Generative AI, AI-powered applications, agents, or workflows
• Full-stack software engineering experience, including backend services and user-facing applications
• Experience with React or another modern frontend framework
• Experience developing REST APIs and integrating enterprise systems and data
• Hands-on AWS experience building, deploying, and operating production workloads
• Experience with Terraform or other infrastructure-as-code technologies
• Experience with GitHub Actions or comparable CI/CD technologies
• Experience with SQL and enterprise data integration
• Understanding of AI agents, workflows, tool use, orchestration, evaluation, and human-in-the-loop patterns
• Experience operating and supporting software in production
• Strong communication skills and the ability to collaborate directly with both technical and business stakeholders

Preferred Experience

• Machine learning, model fine-tuning, or applied AI
• AI agent frameworks such as PydanticAI or comparable technologies
• AI observability, AI Ops, or LLMOps
• Graph databases such as Neo4j
• Enterprise architecture, security, governance, or compliance requirements
• Insurance, claims, healthcare, or other regulated operational environments
• Experience working directly with end users to translate business processes into software solutions
• Experience collaborating with external or vendor engineering teams

Level, responsibilities, and specific technical requirements will vary based on experience, technical depth, and alignment

Important Note: These opportunities are focused on engineers with hands-on production experience building and deploying AI solutions. Experience limited to academic projects, notebooks, hackathons, demonstrations, tutorials, or basic AI wrappers alone does not represent the type of production engineering experience these positions require.