Software Engineer, New Grad

FERMÀT is the AI native commerce platform that optimizes shopping experiences, leading to best-in-class shopper engagement and conversion. We help brands transform clicks into conversions with dynamic, personalized shopping experiences—built and optimized in minutes.

Backed by VMG, Bain Capital Ventures, Greylock, QED, and named The Information’s #1 commerce startup, we’re a 70+ person team based in SF, Austin, NYC, and Bangalore. As a fast-growing Series B company, we’re building the infrastructure for the future of online retail—and we’re just getting started.

We're looking for New Grad Software Engineers to join FERMÀT and help build the future of AI-native commerce. You will work on challenging problems across our platform—from building scalable systems that handle millions of shoppers to creating AI-powered features that personalize shopping experiences.

This is a generalist role where you'll rotate across different parts of our stack and product areas. You'll work alongside experienced engineers who are invested in helping you grow from a new grad into a strong engineer, while taking on real ownership of features that directly impact our customers.

You’ll tackle a diverse range of problems across our platform:

Full-Stack Development

• Build features that span from frontend interfaces to backend services

• Create intuitive user experiences for complex commerce workflows

• Design and implement APIs that power our platform

• Work with databases to model and query commerce data at scale

AI & Personalization

• Build features that leverage LLMs to generate and optimize shopping experiences

• Implement personalization systems that adapt to shopper behavior

• Work on experimentation infrastructure to test and measure AI-driven optimizations

• Help train and fine-tune models for commerce-specific use cases

Infrastructure & Scale

• Build systems that handle millions of requests reliably

• Optimize performance for high-traffic commerce scenarios

• Design data pipelines that process and analyze shopper behavior

• Work on deployment and monitoring systems

You’ll spend your first few months ramping up on our stack and shipping smaller features, with increasing ownership and complexity as you grow. We believe in giving engineers real problems to solve from day one.

Required:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or related field

• Strong foundation in data structures, algorithms, and software design

• Experience building projects with at least one programming language (Go, Python, JavaScript, Java, C++, or similar)

• Familiarity with web development (frontend or backend)

• Ability to write clean, well-tested code

• Strong problem-solving skills and curiosity about how things work

• Excellent communication and collaboration skills—you can explain technical concepts clearly

• Excitement about learning quickly and working across the stack

Nice to Have:

• Internship experience at a tech company or startup

• Projects involving AI/ML, LLMs, or data systems

• Experience with Type Script, React, Go, or Python

• Contributions to open source or personal projects you're proud of

• Coursework or projects in distributed systems, databases, or machine learning

Golang
• Python
• Type Script  
• React
• Next.js
• PostgreSQL
• Google Cloud
• Various LLM APIs

Don't worry if you haven't used all of these. We're looking for engineers who can learn quickly and adapt to new technologies.

You’ll spend most of your time coding—building features, fixing bugs, and learning our systems. You'll participate in daily standups, collaborate with engineers across the team, and pair program with senior engineers who can help you grow. You'll ship code regularly and see your work go live to real customers quickly.

Early on, you'll work on well-scoped features with guidance. As you ramp up, you'll take on more complex problems and start making architectural decisions.

Technical Skills

• Develop full-stack engineering skills across frontend, backend, and infrastructure

• Gain hands-on experience with AI systems in production

• Learn to build and scale systems that serve millions…