AI Engineer

Join a dynamic AI Platform Team as a Senior AI Engineer, driving enterprise-wide adoption of secure, scalable, and reusable AI solutions. This hands-on, backend-focused engineering position empowers you to build production-ready AI capabilities within a modern cloud environment, with a strong emphasis on AWS and Generative AI technologies., Design, build, and maintain robust, reusable AI platform components and backend services for enterprise-scale projects.

• Develop and deploy cloud-native solutions using AWS services such as API Gateway, Lambda, Bedrock, S3, EventBridge, DynamoDB, PostgreSQL, CloudWatch, and Fargate.
• Deliver production-grade APIs, chatbots, agent services, and RAG-based search solutions that enhance business workflows.
• Implement infrastructure as code with AWS CDK for consistent, secure, and rapid deployment.
• Create and maintain prompt templates and AI platform assets to accelerate downstream team productivity.
• Ensure compliance with privacy, security, and observability standards throughout the solution lifecycle.
• Support and collaborate on AI safety controls, output validation, and platform governance initiatives.

8+ years of hands-on software engineering experience in enterprise environments.

• Minimum 1 year experience developing production-level Generative AI solutions (RAG, chatbots, copilot, search agents).
• Strong proficiency in Node.js and TypeScript.
• Demonstrated expertise with AWS ecosystem (API Gateway, Lambda, S3, Bedrock, DynamoDB, PostgreSQL, CloudWatch, Fargate).
• Experience building and maintaining backend APIs, platform services, and deploying to cloud environments.
• Hands-on skills with AWS CDK for infrastructure as code.
• Knowledge of prompt engineering, semantic retrieval, embeddings, chunking, and vector search.
• Familiarity with AI safety and output validation concepts.
• Solid understanding of CI/CD, source control, testing, and debugging best practices.

Preferred Skills

• Python development experience.
• Exposure to agentic AI solution design, orchestration frameworks, or tool-using AI workflows.
• Experience with Azure cloud services.
• Familiarity with AI observability, tracing, benchmarking, or monitoring for GenAI.
• Background in regulated industries (healthcare, insurance, financial services).
• Contributions to reusable platform components, SDKs, or service catalogs.
• Experience with event-driven architecture and cloud-native integrations., Requirements:* 8+ years of software engineering experience* 1+ years of experience with GenAI solutions (production-level and not personal projects) in RAG chatbots etc* Enterprise level experience* Primary expertise in Node/TypeScript* AWS experience (API Gateway Lambdas S3 etc)* Amazon Bedrock* Python is a nice to have

Partial remote flexibility-work in a hybrid environment from Des Moines, IA.

• Opportunity to drive enterprise AI transformation and work on cutting-edge GenAI projects.
• Collaborate with a forward-thinking team focused on innovation, scalability, and security.
• Continuous learning and career growth in a rapidly-evolving AI landscape.