Product Engineer
Krea is hiring a Product Engineer in San Francisco, United States. Level rates it ; you can apply on Krea.
Level's read on this job
- Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
- Krea mentions visa sponsorship in this posting.
- Tools and skills the posting cites include PyTorch, Sveltekit and React.
- Level classifies it as a senior role.
- Level lists 13 other open roles at Krea.
AI in this role
Build real-time creative tools and interfaces for generative AI models while occasionally working on Python ML inference pipelines.
About Krea
At Krea, we are building next-generation AI creative tools.
We're dedicated to making AI intuitive and controllable for creatives - our mission is to build tools that empower human creativity, not replace it. We believe AI is a new medium that allows us to express ourselves through various formats - text, images, video, sound, and even 3D. We're building better, smarter, and more controllable tools to harness this medium. We recently took this a step forward with the launch of Krea 2, our first foundation model, built completely from scratch for aesthetic diversity and stylistic control, and with Krea 3 - our new image editing model.
We've raised over $83M and are backed by world-class investors such as a16z, Bain Capital, and Abstract. We work full-time and in-person at our waterfront office in San Francisco. We care about creativity: our team includes musicians, designers, visual artists, and engineers.
This role
We're looking for a product engineer to help take sub-products already driving significant revenue and make them more robust, while shipping new product surfaces for our creative users. You'd work primarily in SvelteKit (React experience also fine), touching Postgres/Redis/ClickHouse, with occasional reach into Python ML inference on GPU clusters and our multi-cloud k8s setup as needed.
What you'll do
Build real-time collaboration and canvas tooling (e.g. WebGL2/WebGPU for our node-based tools & CRDTs)
Ship durable execution for long-running workflows and public APIs (OpenAPI docs auto-generated from Zod schemas)
Reach into Python ML inference on GPU clusters and our multi-cloud k8s setup as features require it
Own cross-service metrics, tracing, and observability for the features you ship
What we're looking for
4+ years of experience, ideally with 1+ years contributing to a product with millions of users
Real, significant Svelte or React experience - this isn't a pure-backend role
Strong first-principles thinking and product sense over attachment to any specific framework
Comfort owning things end-to-end, from idea to shipped, measured impact
Clear written and verbal communication
Taste - a strong, well-developed point of view on what good creative work looks like
Nice to have
Python/PyTorch or GPU-backed ML inference experience
A creative background (design, art, architecture, or similar)
Our stack
SvelteKit, TypeScript, Python, Postgres (AWS Aurora), Redis, ClickHouse, Docker, Kubernetes, FluxCD
What we offer
Team: Work alongside a world-class team building the future of AI creative tooling
Impact: Significant scope and company-wide impact
Competitive compensation: generous salary & equity packages
Health & wellness: 100% health & 99% dental/vision insurance premiums covered for employees, health FSA accounts, & long-term disability coverage
Time off: Flexible PTO policy
Financial planning: 401k with a 4% company-sponsored match
Meals in the office: breakfast, lunch, dinner - you name it, we'll cover it
Transit: Ubers covered to & from the office
Sponsorship: We're open to sponsoring international visas where we can (e.g., STEM OPT, OPT, H-1B, O-1, E-3).
And more!
Please note the above benefits & perks are for full-time employees
How we rate this
Product Engineer at Krea rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where frontend was part of your work. What did you do?
- Tell me about a project where fullstack was part of your work. What did you do?
- Tell me about a project where ml inference was part of your work. What did you do?
- Tell me about a project where webgl was part of your work. What did you do?
- Tell me about a project where api design was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Frontend, Fullstack, ML Inference, Webgl, and API Design. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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