Posting record
Open 12+ days
- Spreeai's site dates the posting
- Ghostless first sees this listing
- Last checked: still up
How we know
It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.
Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Spreeai, so its true age is longer.
Last checked Nov 4, 2026.
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Upload your resumeWhat the posting discloses
- Pay
- $145k to $175k a year USD
Not stated: Real vacancy, AI screening.
Why these three
Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.
Skills mentioned
About the role
SPREEAI is a fast-growing, innovative AI company at the forefront of fashion and e-commerce, revolutionizing how consumers engage with fashion through lifelike photorealistic try-on technology and hyper-personalized shopping experiences. Our mission is to redefine the retail landscape with cutting-edge AI solutions that blend high fashion and technology. We thrive in a dynamic, fast-paced environment where creativity meets technology to drive real impact. If you are passionate about innovation and shaping the future of fashion, SPREEAI offers a platform to make your mark.
About the team
AI Platform scales SPREEAI's infrastructure: productionizing ML model checkpoints, running the API services behind the Partner Portal and partner integrations, optimizing inference serving, and giving ML Scientists training-as-a-service so they can iterate without managing infrastructure themselves. It's the layer between research and the product our partners actually touch.
About the role
As SPREEAI's partner roster and product surface area grow, the API services powering partner-facing features and internal ML tooling need dedicated backend ownership instead of being split across whoever has time. These two hires own backend services end to end, from design through production, working alongside AI Platform and Partner Engineering.
What you'll do
- Design, build, and operate backend services in Go or Node.js: REST APIs, auth, and the data layer behind partner-facing and internal tooling
- Own webhook systems for partner integrations (delivery guarantees, HMAC signatures, retry logic)
- Design API versioning, pagination, and idempotency so existing integrations don't break as we ship
- Work with PostgreSQL and DynamoDB, and make real calls on schema and query design under production load
- Partner with AI Platform on the services that productionize ML checkpoints and serve inference, and with Partner Engineering on partner-facing API contracts
- Help set backend engineering practices, code review norms, and service patterns as the team scales
What you'll bring
- 3+ years building and operating production backend services in Go or Node.js
- Real experience with REST API design (versioning, pagination, idempotency keys) and auth (OAuth 2.0, API key management, JWT)
- Experience building reliable webhook delivery (at-least-once semantics, signature verification, retries)
- Comfort with PostgreSQL or DynamoDB query and schema design
- Comfort working independently in an ambiguous, fast-moving startup environment
Nice to have
Experience supporting ML/inference-serving infrastructure or working alongside an ML platform team. Docker and Kubernetes exposure.
You'll thrive here if
You'd rather own a service end to end than hand off a spec, and you think about failure modes, a flaky partner webhook, a key rotation, a bad migration, before they happen, not after. You communicate proactively when something's at risk.
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