AI Engineer

• 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

• 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
• Strong Python development experience
• 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

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.