Full Stack Engineer

Who is Recruiting from Scratch:

Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire.

Full Stack Engineer

Location - SoHo, New York, NY - On-site, 5 Days Per Week)

Compensation - $175,000 – $250,000 Base + 0.2–0.5% Equity

Visa - Visa Sponsorship Not Available

Company Stage - Series A (Recently Raised $20M)

Industry - Artificial Intelligence, Consumer Technology, Fashion Technology, Computer Vision, Recommendation Systems, E-Commerce, Social Commerce

About the Company

The company is building the future of AI-powered shopping and personal styling through one of the fastest-growing consumer AI applications in the market.

Its platform combines computer vision, recommendation systems, generative AI, and personalization to help millions of users discover outfits, receive styling recommendations, virtually try on clothing, and shop more intelligently. The platform processes millions of images daily while continuously improving personalized fashion experiences through proprietary AI models.

Backed by Menlo Ventures alongside notable investors including Tony Xu (DoorDash), Karlie Kloss, and the co-founder of Rent the Runway, the company recently closed a $20M Series A and has been featured by Vogue, TIME Best Inventions, Forbes, and has become a Top 100 App Store application across multiple countries.

As a Full Stack Engineer, you'll build highly scalable consumer experiences across frontend applications, backend infrastructure, AI-powered recommendation systems, and data pipelines while working directly with the CEO and a small elite engineering team.

This is an exceptional opportunity to join an AI-native consumer startup where engineers own products end-to-end, collaborate closely with leadership, and build technology used by millions of consumers every day.

What You'll Do

Build and own full-stack product features across Alta's AI-powered shopping platform

Develop beautiful, high-performance frontend experiences using React, Next.js, and modern web technologies

Design and build scalable backend services using Python, Node.js, and TypeScript

Scale backend infrastructure supporting millions of user interactions and image processing workloads

Build and improve recommendation systems powering personalized shopping experiences and social discovery

Develop data pipelines (ETL) to process product catalogs from thousands of brands

Work on AI-powered features including virtual try-on, outfit generation, personalization, and ranking algorithms

Ship consumer-facing features rapidly through experimentation, A/B testing, and continuous iteration

Partner closely with Product, Design, AI, and Leadership to launch impactful customer experiences

Improve product performance, scalability, reliability, and engineering quality

Contribute to architecture decisions across frontend, backend, infrastructure, and AI-powered product systems

Translate customer feedback into polished user experiences with exceptional attention to detail

Ideal Candidate Background

Experience Requirements

2–6 years of full-stack software engineering experience

Experience building consumer-facing products at scale

Experience working at VC-backed startups or notable technology companies

Experience owning features end-to-end from concept through production

Experience building high-growth consumer products with measurable user impact

Experience operating in fast-moving startup environments

Strong product ownership with demonstrated engineering execution

Experience building data-heavy applications preferred

Technical Requirements

Strong proficiency with React, Next.js, TypeScript, Python, and Node.js

Experience building scalable frontend applications with exceptional user experience

Experience designing backend APIs and production infrastructure

Strong understanding of modern web architecture and software engineering best practices

Experience working with AI-powered products, recommendation systems, or computer vision applications preferred

Experience building ETL pipelines and large-scale data processing systems

Familiarity with SwiftUI or iOS development is a plus

Experience working with experimentation frameworks and A/B testing

Ability to work across frontend, backend, infrastructure, and data engineering

Strong engineering fundamentals across scalability, performance, and maintainability

Education

Bachelor's degree in Computer Science or another technical discipline from a top engineering program preferred

Strong academic background from a Top-30 Computer Science university preferred

Exceptional candidates with outstanding technical achievements considered

Soft Skills

Strong product intuition

Customer-obsessed mindset

Excellent communication skills

High ownership mentality

Comfortable operating in ambiguity

Strong collaboration skills

Design-oriented thinking

Fast learner with high curiosity

Bias toward execution and rapid iteration

Passion for consumer products and AI-powered experiences

Compensation & Benefits

Base Salary: $175,000 – $250,000

Equity Package (0.2–0.5%)

Fully On-site Engineering Team (SoHo, NYC)

Opportunity to build one of the fastest-growing AI consumer products

Direct collaboration with the Founder & CEO

Small, elite engineering team with significant ownership

Opportunity to work on proprietary AI models, computer vision, and recommendation systems

High-impact engineering culture with rapid career growth

Featured product with millions of users and global recognition

Opportunity to define the future of AI-powered shopping

Why Join

This is an opportunity to build one of the most exciting AI-native consumer applications in the world.

You'll work at the intersection of artificial intelligence, computer vision, recommendation systems, social commerce, and consumer product engineering while shipping experiences used by millions of shoppers globally.

As a Full Stack Engineer, you'll own products from idea through production, collaborate directly with the founder, and build technology that transforms how consumers discover fashion through AI.