Jobs · Information Technology · California

Senior AI Product Engineer II

Harnham · San Francisco County, CA · 1 wk ago
HybridInformation Technology$192k–$249k/yrFull-time
Senior AI Product Engineer II $192,000-$249,000 + Equity 3 days/week on-site Overview A fast-growing SaaS organization is seeking a Senior AI Product Engineer to develop and deliver AI-powered product experiences. This role focuses on transforming large language model (LLM) capabilities, retrieval systems, and agent-based workflows into intuitive, production-ready customer features. The ideal candidate combines strong full-stack engineering expertise with practical experience building AI applications. You will work closely with product, design, and AI specialists to create scalable, user-centric solutions that improve complex business workflows through intelligent automation. Key Responsibilities Design, build, and maintain AI-powered product features across the full stack using modern frontend and backend technologies.Develop responsive user interfaces that support real-time and streaming AI interactions.Integrate AI services, orchestration layers, retrieval systems, and agent workflows into customer-facing experiences.Collaborate with AI and machine learning teams to define APIs, output formats, and user interaction patterns.Translate sophisticated AI capabilities into practical, intuitive workflows for end users.Identify and improve areas where model outputs create usability challenges or inconsistent experiences.Build feedback mechanisms that capture user sentiment and output-quality signals to support continuous improvement.Implement observability and analytics for AI features, including performance, engagement, completion rates, and user adoption metrics.Create reusable components, state-management patterns, and frontend frameworks that accelerate future AI feature development.Develop and maintain automated testing strategies across frontend, backend, and AI-enabled workflows.Participate in architecture discussions, design reviews, and technical mentorship activities. Required Qualifications Experience 7+ years of professional software engineering experience delivering production-grade applications.2+ years of experience building AI-enabled product features. Frontend Strong expertise in React and TypeScript.Experience building highly interactive user interfaces that manage asynchronous and real-time data.Knowledge of modern frontend architecture and state management patterns. Backend Strong proficiency in Python, Node.js, and TypeScript.Experience designing and consuming APIs for AI platforms and distributed services. AI & Machine Learning Applications Hands-on experience working with commercial LLM platforms and AI APIs.Strong understanding of: Prompt engineeringContext managementRetrieval-Augmented Generation (RAG)Evaluation and quality measurement frameworksStructured outputs and response validationFamiliarity with agent orchestration frameworks and multi-step AI workflows. Real-Time Systems Experience implementing streaming architectures using technologies such as: Server-Sent Events (SSE)WebSocketsStreaming HTTP responses Product & Collaboration Strong product mindset with a focus on usability and customer outcomes.Experience working cross-functionally with engineering, product management, design, and AI/ML teams.Ability to thrive in fast-paced environments with evolving requirements. Preferred Qualifications Experience in governance, risk, compliance, security, audit, or other documentation-intensive enterprise domains.Experience with Model Context Protocol (MCP) or similar AI tool-use standards.Exposure to retrieval system design and debugging retrieval-quality issues.Experience creating review, annotation, or quality-feedback tooling for AI-generated outputs.Prior experience establishing engineering standards and mentoring team members. Work Model / Location / Engagement Details Full-time position.Hybrid work environment with a combination of in-office collaboration and flexible remote work.High degree of cross-functional interaction with product, engineering, design, and AI teams.Opportunity to influence both product direction and AI feature strategy within a rapidly scaling organization.

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