AI Product Engineer

CivicPlus, LLC•Sacramento, CA

7d•Remote

About The Position

As an AI Product Engineer, you will build and improve full-stack product features that help deliver reliable, scalable experiences in a production SaaS environment. You'll combine product engineering fundamentals with AI-enabled functionality to create thoughtful solutions, strengthen system reliability, and continuously improve the customer experience through feedback and iteration.

Requirements

2+ years of experience shipping production software as a full-stack engineer.
Backend development experience in a typed language such as Go, Python, TypeScript, or a similar language.
Some experience integrating LLM APIs into real-world projects, such as streaming, structured outputs, or basic retrieval-augmented generation (RAG).
Experience working in AWS environments and troubleshooting with logs and monitoring tools such as CloudWatch.
Hands-on experience using Claude Code, Cursor, or equivalent agentic coding tools in a software development workflow.
Working knowledge of HTML and JavaScript.
Strong problem-solving skills, sound judgment, and the ability to learn unfamiliar systems quickly.
A product mindset with attention to user experience, continuous improvement, and customer feedback.
Strong communication skills and a willingness to engage with customers.
Bachelor's degree in Computer Science, Engineering, or a related field preferred, or equivalent work experience.

Responsibilities

Design, develop, and deploy end-to-end product features across the full stack, including frontend interfaces, backend services, APIs, and AI-enabled functionality.
Build and maintain scalable backend services and data models that support a multi-tenant SaaS application.
Integrate LLM-based features into product workflows with attention to cost, latency, and reliability in production environments.
Use agentic coding tools such as Claude Code, Cursor, or similar solutions as part of the development workflow and help improve engineering practices.
Evaluate emerging AI and software development tools and recommend practical improvements where they can add value.
Partner with product, design, and other cross-functional teammates to deliver features aligned to user needs and product goals.
Use customer feedback to refine features, identify issues, and guide continuous product improvement.
Implement logging, monitoring, and observability practices to troubleshoot issues using production data and system metrics.
Develop and maintain test coverage, including basic evaluation methods for AI-driven features to support reliability and accuracy.
Document system components, APIs, and development workflows to improve maintainability and knowledge sharing.