Posting record
Open 12+ days
- Argon Ai'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 Argon Ai, so its true age is longer.
Last checked Nov 4, 2026.
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Upload your resumeWhat the posting discloses
Not stated: Pay, 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.
Some employers add pay only on their own site. Check the original posting before you rule it out.
Skills mentioned
About the role
Argon · New York City · In person
We are opportunistically looking for exceptional senior/staff full-stack engineers who can turn ambiguous customer needs into useful, reliable software. You’ll work closely with the founders, product partners, and domain experts, owning features from scoping and design through implementation, launch, and iteration.
What you’ll do
- Deliver customer-facing features end to end across frontend, backend services, APIs, and integrations.
- Improve research, analysis, and writing workflows, including evidence presentation, citations, and exports.
- Make practical product and architecture decisions, break work into useful releases, and follow through on quality and customer adoption.
- Build appropriate tests, instrumentation, and operational support for the features you ship.
What you bring
- A record of independently shipping substantial full-stack products or features used by real customers.
- Strong frontend and backend fundamentals, product judgment, and attention to usability and correctness.
- Ability to navigate unfamiliar systems, work with domain experts, and finish projects with limited oversight.
- Experience with TypeScript, modern frontend development, APIs, and SQL; Python, AI product work, and life-sciences experience are useful additions.
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