AI Engineer

Getaida; Palo Alto (CA); Hybrid; USD 120,000 - 170,000; Full time

Benefits offered by this job

Competitive salary

Equity

Benefits

Job summary

Getaida, an innovative B2B enterprise AI company based in Palo Alto, is looking for a strong AI Engineer. The ideal candidate will have a solid background in building Large Language Models (LLMs) and an eye for new emerging models. This position involves collaborating in a fast-paced hybrid work environment and offers a competitive salary along with equity and benefits. Join a talented team driving cutting-edge AI solutions tailored to various roles.

Qualifications

• Demonstrated history of implementing services from ideation to functional.
• Experience or research in building LLMs from scratch highly desired.
• Experience in using and fine-tuning open-source models.

Responsibilities

• Develop deep AI assistants tailored for various roles.
• Prototype and analyze various language models.
• Collaborate in a team environment.

Skills

Problem-solving skills

Collaboration in cross-functional teams

Building LLMs

Using LLM platforms

Prototyping and comparing SOTA models

Analyzing statistics and data

Education

Exceptional academic credentials

Tools

AWS

Azure

Google Cloud

Job description

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