Why Parter exists

Hardware runs the world, but building it is harder than it should be. At Parter, we make AI tools for the humans who build the machines of the future. We take the boring, repetitive work off their plate so they can spend more time imagining, designing, and creating what only humans can.

The role

As a Full Stack Engineer, you’ll help shape the brain and heartbeat of our product. This isn’t a narrow coding role, you’ll own problems end-to-end, from first sketch to shipping, and watch your work come alive in production within weeks. You’ll join a tight, ambitious team where every engineer helps define both the product and the culture.

What you’ll do

• Work across the stack, from frontend polish to backend resilience.

• Collaborate with product and design to shape features, not just code them.

• Ship fast, ship often, and still take pride in craft.

• Explore and integrate advanced AI (LLMs, GenAI) into a production-grade product.

• Turn customer feedback into product improvements that stick.

How we work

• In-office, side-by-side, with quick feedback and faster shipping.

• Pragmatic and product-first: no feature ships unless it makes a real impact.

• Supportive but demanding: we hold a high bar and help each other reach it.

The tools we use (today - you’ll help shape tomorrow)

Powering the logic that makes hardware data come alive in our backend is Python. On the frontend, React and TypeScript give users a simple, intuitive way to work with complex information. Everything runs in the cloud - AWS and GCP - with containerized microservices (and Kubernetes keeping the gears turning smoothly) ensuring we can ship fast and scale seamlessly. For intelligence, we weave in LLMs and data pipelines to unlock insights from documents. And for resilience, our real-time monitoring keeps an eye on the moving parts - so the system stays as reliable as the products it supports.

Who we’re looking for

You’ve been building software for 5+ years and still love the craft. Whether it’s Python, TypeScript, or another high-level language, you pick up the right tool for the job. More importantly, you learn fast and adapt even faster. You’ve lived the chaos of a startup and know how to turn ambiguity into action. And when it comes to the cloud, you’ve shipped real products on AWS or GCP and understand what it takes to run SaaS in production. It’s even better if you’ve tinkered with LLMs or built data pipelines, or if Kubernetes doesn’t scare you. But none of these are deal-breakers. What matters most is your curiosity, adaptability, and hunger to build.