Senior AI Product Engineer II

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San Francisco / $192000 - $259000 annum

INFO

Salary

SALARY:

$192000 - $259000

Location

LOCATION

San Francisco

Job Type
JOB TYPE

Permanent

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 engineering
    • Context management
    • Retrieval-Augmented Generation (RAG)
    • Evaluation and quality measurement frameworks
    • Structured outputs and response validation
  • Familiarity with agent orchestration frameworks and multi-step AI workflows.

Real-Time Systems

  • Experience implementing streaming architectures using technologies such as:
    • Server-Sent Events (SSE)
    • WebSockets
    • Streaming 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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