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 TypeScript, 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 • TypeScript • 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 of users
Master software engineering best practices: testing, code review, system design
Mentorship & Support
Dedicated onboarding plan to set you up for success
Regular 1:1s with your manager and senior engineers
Code & tech spec reviews focused on learning and growth
Quarterly goal-setting to help you progress in your career
Career Development
Exposure to different parts of the stack and product
Opportunities to specialize in areas that interest you (AI, infrastructure, product engineering)
Clear path from new grad to mid-level and senior engineer
Culture that values learning and experimentation
Real impact from day one: Your code will be used by major brands and millions of shoppers
Learn from the best: Work with experienced engineers from companies like Stripe, Google, and top startups
Cutting-edge technology: Work on AI-native products at the intersection of commerce and machine learning
Fast-paced growth: Series B startup where you'll wear different hats and learn rapidly
Strong engineering culture: We value code quality, thoughtful design, and continuous learning
Competitive salary + equity package
Comprehensive health, dental, and vision insurance for you and all your dependents.
Retirement benefits:
US: 401(k) plan with 4% matching
India: Provident Fund with 12% matching
4 months of paid parental leave
Unlimited PTO policy (with minimum 5 days PTO / quarter!)
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