Senior AI Product Engineer II

Harnham; San Francisco (CA); Hybrid; USD 192,000 - 249,000; Full time

Job summary

Harnham in San Francisco is seeking a Senior AI Product Engineer II to design and deliver AI-powered product experiences in a fast-growing SaaS environment. You will transform LLM capabilities, retrieval systems, and agent-based workflows into intuitive, production-ready customer features, collaborating with product, design, and AI specialists.

The role combines strong full-stack engineering with hands-on AI application development, focusing on scalable, user-centric solutions that automate

Qualifications

• 7+ years of professional software engineering experience delivering production-grade applications.
• 2+ years of experience building AI-enabled product features.

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.

Skills

React

TypeScript

Python

Node.js

AI platforms

Prompt engineering

RAG

WebSockets

SSE

Job description

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.

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.