---
title: 'Senior Applied AI Engineer at Noon'
canonical: 'https://feeny.ai/job/senior-applied-ai-engineer-noon-san-francisco-wf6x9f61xavp'
type: 'job'
last_seen: '2026-09-05'
---

# Senior Applied AI Engineer at Noon

- **Company:** Noon
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-06-03
- **Last confirmed live:** 2026-09-05
- **Apply:** https://jobs.ashbyhq.com/noon-design/25bdecf8-a34d-47fe-89dd-3102cc64381c

## Job description

## ABOUT NOON

We are on a mission to reinvent how designers work in the AI era. We’re backed by top investors including First Round, Chemistry, Homebrew, Scribble and senior leaders from OpenAI, Meta, Google, Ramp, Stripe and more. We’re building the next-generation AI design tool for product teams.

## ABOUT THE ROLE

We’re hiring a Senior Applied AI Engineer to ship the AI features that designers actually use every day. You’ll prototype, evaluate, and refine product capabilities — from prompts and agents to retrieval and tool orchestration — and turn raw model capability into reliable, delightful UX. This is a deeply hands-on role for someone who lives at the seam between AI capability and product, can navigate a large TypeScript codebase, and treats fast iteration over polished engineering as a feature, not a bug.

You’ll own AI features end-to-end, capabilities like our AI Cursor, from prompt design and agent orchestration through to the React-aware code transformations that actually ship to users.

## WHAT YOU’LL DO

- Build user-facing AI features end-to-end: prompt design, agent flows, tool use, RAG pipelines and the production code that makes them work
- Own complex capabilities end-to-end. Take something like AI Cursor from spec to shipped: design the prompt and agent flow, build the retrieval, write the React code transformations, ship the UI, and own the eval
- Ship directly into our TypeScript monorepo — your code runs in production, not in a side service
- Read and reason about React code as data — the model’s job is to modify React, and yours is to make sure it does so reliably
- Iterate quickly on capability vs. UX tradeoffs — when does the canvas need a fast path vs. a slow path, when should the model suggest vs. just execute
- Design product-facing evaluation: A/B tests, user-driven metrics, LLM-as-judge harnesses, behavioral regression suites
- Own the prompt-engineering, context-engineering, and retrieval layers for every AI feature
- Know when a capability has hit the limit of prompting/retrieval and needs fine-tuning or serving-side work - and raise it.
- Be the closest engineer to designers and product — translate user intent into AI capability

## MUST-HAVE REQUIREMENTS

- 8+ years software engineering experience, with demonstrable production AI feature work
- Production TypeScript experience in large, complex codebases — you’ve shipped non-trivial features in a TS monorepo and are comfortable owning code end-to-end in a JS/TS stack. This is a hands-on engineering role, not a prompt-tuning role.
- Strong prompt engineering, context engineering, and RAG fundamentals
- Experience designing agent flows with multi-step tool calling
- Hands-on experience with LLM APIs and orchestration frameworks (LangChain, LangGraph, DSPy, Vercel AI SDK, or equivalents)
- Ability to design and ship product-facing eval pipelines
- Strong product instincts — comfortable holding the pen on UX tradeoffs
- Move-fast disposition; comfortable with rapid iteration over polished engineering

## NICE TO HAVE

- Ability to read and reason about React code — components, hooks, state, JSX as a tree. Our AI modifies React code, so understanding what it’s producing is a major plus
- Any background in code-generation AI — Copilot-style completion, agentic code editing (Cursor, Cline, Aider, Devin), AST-aware transformations, code-specific RAG, code evaluation harnesses
- Experience with streaming AI UX (token streaming, partial renders, cancellation)
- Familiarity with WebSocket-based real-time systems
- Background shipping AI inside collaborative or canvas-based products

## WHAT YOU’LL BUILD

- Canvas-side AI capabilities, including AI Cursor and successor capabilities
- Multi-step agent flows that take a user goal and execute it end-to-end against a React codebase
- Retrieval pipelines over the user’s design system and existing codebase
- Real-time, streaming AI experiences in the canvas
- The eval harnesses that tell us when a feature is shipping-ready vs. needs more work

## BENEFITS

- Salary: $250,000-$400,000 base salary
- Equity: Meaningful stock options
- Health Insurance: Best-in-class coverage for the employee and their entire family
- Location: San Francisco HQ

## About Noon

## Company Overview
- **One-liner**: Noon is the first dual-canvas design tool that lets product designers design how a product looks and how it works directly on top of production code, eliminating the traditional gap between design and code.
- **Entity Type**: Private (raised $44M in funding)
- **Headquarters**: San Francisco, California, United States (with office presence in India)
- **Founded**: Not publicly available
- **Founders**: Aditya Bandi (Co-Founder & Co-CEO), Kushagra Sinha (Co-Founder)

## Core Business
- Primary industry: Product design tools / software development
- Target customers: Product designers, design teams, and engineering teams (B2B, with B2C elements for individual designers)
- Mission or purpose: To eliminate the gap between design and code by providing a single canvas where visual design and functional implementation live together

## Products & Services
- **[Noon]**: A dual-canvas design tool (SaaS) that works on top of product code. It uses AI to understand the design system and enables users to explore, design, build, test, and ship all from the same canvas. Unlike traditional tools, Noon directly generates production-ready code, removing the need for translation between design and development.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company)
- **Key Metric**: Total funding of $44M
- **Notable Investors/Partners**: Chemistry, First Round, Scribble Ventures, SV Angel, Afore Capital, Elevation Capital. Also backed by prominent design leaders such as Katie Dill (Head of Design, Stripe), Ian Silber (Head of Design, OpenAI), Soleio (ex-Facebook, ex-Dropbox), Julie Zhuo (ex-VP Design Facebook), and Scott Belsky (Behance founder).
- **Growth Signals**: 18 employees as of mid-2026; actively hiring for Lead AI Engineer, Principal Product Designer, and Frontend Architect. The company reports 102,000+ monthly website visits with a low 0.6% bounce rate, indicating strong engagement from the design community.

## Competitive Advantages
- Only tool that eliminates the round-trip between design and production code by working directly on top of the codebase.
- AI core that knows the design system and delivers pixel-perfect output rather than "vibes-based" generation.
- Backing from influential design leaders at major tech companies gives strong domain credibility.

## Strategic Focus
- Becoming the definitive "home for product design" by integrating AI across the entire workflow – from ideation to shipping.
- Scaling the team across design, engineering, and operations to accelerate product development and adoption.

## Why Work Here
- Early-stage, fast-paced startup environment with a small team of 18 people.
- Opportunity to shape the future of product design tools from the ground up.
- Offices in San Francisco (HQ) and India; remote/hybrid arrangements likely available.
- Current open roles include Lead AI Engineer, Principal Product Designer, and Frontend Architect.
- Backed by top-tier investors and design luminaries which suggests a strong network and high-impact work.

## Sources
1. [noon.design](https://noon.design/)
2. [noon.design - Announcement](https://noon.design/announcing-noon)
3. [LinkedIn - Noon](https://www.linkedin.com/company/noondesignapp)
4. [Ashby careers page - Noon](https://jobs.ashbyhq.com/noon-design)

## Other roles at Noon

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- [Fullstack Backend Architect](https://feeny.ai/job/fullstack-backend-architect-noon-bengaluru-8qmjj562xtc5) — Bengaluru, India
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