Posting record
Open 12+ days
- Aida'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 Aida, so its true age is longer.
Last checked Nov 2, 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
Aida is a B2B enterprise AI company founded by Piyush Prahladka, former co-founder of Glean (a unicorn valued at $7.2B), and Atish Das Sarma, former head of growth engineering at Patreon and head of AI at Apple Cloud. Currently operating in stealth mode, Aida is developing deep AI assistants tailored for every role. The company is well-funded, having secured a significant seed round.
Aida’s team consists of 20 members based in Palo Alto and India. We are seeking a strong AI Engineer who is comfortable working in a fast-paced environment.
Preferred Qualifications
- Demonstrate a history of taking services from the ideation stage to a fully functional implementation.
- Strong problem-solving skills and the ability to work in a collaborative, cross-functional team environment.
- Experience or research on building LLMs ground up highly desired
- Experience with using LLM platforms like (OpenAI, Anthropic, etc.)
- An eye for new models in town and the ability to understand and use them quickly.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Quick at prototyping and comparing SOTA (State of the Art) language models.
- Experience in using and fine-tuning open-source models or multiple LLMs.
- Analyze statistics, data, and algorithms for projection accuracy.
- Exceptional academic credentials highly desired
More About the Role
- Work setting: Hybrid in the San Francisco Bay Area (3 days in the Palo Alto office)
- Competitive Salary, Equity, and Benefits
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