Senior AI Product Engineer

CivicPlus, LLC•Sacramento, CA

About The Position

As a Senior AI Product Engineer, you will design, build, and operate a full-stack SaaS product that combines web applications, backend services, and AI-powered functionality. You will help deliver scalable, reliable product experiences while bringing non-deterministic AI systems into production thoughtfully and responsibly. In this role, your work will directly influence product direction, development workflows, and customer outcomes through hands-on engineering, experimentation, and feedback-driven iteration.

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related field preferred, or equivalent work experience.
Proven experience using Claude Code, Cursor, or similar agentic coding tools in a production development workflow.
Experience integrating LLM APIs into production systems, including streaming, structured outputs, tool and function calling, retrieval-augmented generation, or multi-step agents.
Ideally 8+ years of strong full-stack engineering experience in production AWS environments.
Strong proficiency in HTML and JavaScript.
Ability to design and architect scalable systems and APIs.
Experience with observability tools and debugging via telemetry.
Strong product mindset focused on user outcomes and continuous improvement.
Ability to evaluate tradeoffs in complex, unfamiliar systems.
Strong communication skills and comfort working directly with customers.

Responsibilities

Design, develop, and deploy end-to-end product features across the full technology stack, including frontend interfaces, backend services, APIs, and AI-powered functionality.
Architect and maintain scalable, secure backend systems and data models for a multi-tenant SaaS environment.
Integrate and operate LLM-based features such as streaming outputs, structured outputs, tool and function calling, retrieval-augmented generation, and multi-step agents in production systems.
Leverage Claude and contribute to agent orchestration processes that improve product capability and development efficiency.
Evaluate and adopt emerging AI tools, frameworks, and evaluation methods to improve team productivity and product performance.
Collaborate directly with customers and stakeholders to gather feedback, validate features, and help inform roadmap decisions.
Implement observability, monitoring, and logging to diagnose issues and debug systems using telemetry and production data.
Establish and maintain testing strategies, including evaluation frameworks for non-deterministic AI outputs.
Document system architecture, APIs, and engineering practices to support maintainability and team scalability.
Ensure compliance with security, privacy, and regulatory requirements in a multi-tenant SaaS and AI-driven environment.
Partner cross-functionally with teams such as product and design to align technical solutions with user needs and experience goals.
Use agentic coding tools as a primary development workflow and help shape the team’s approach to agent orchestration in software development.
Perform other duties as assigned by leadership.