AI Engineer
SalaryNo pay range posted
LocationBay Area (Palo Alto)
Work modehybrid
Typefull-time
DepartmentEngineering
EquityIncluded
Company size3+ people
PostedFeb 25, 2026 · 7mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
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
Skills
AWS
Azure
Google Cloud
OpenAI
Anthropic
About the company
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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