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Chaidiscovery

Software Engineer, AI Platform

  • Seen live on Chaidiscovery's site today
  • Mid level
Pay
Not stated
Location
San Francisco office
Open for
11+ days
First seen
Oct 24, 2026
Apply on Chaidiscovery's site (opens in a new tab)

Posting record

No flags

Open 11+ days

The posting's record, oldest first
  1. Chaidiscovery's site dates the posting
  2. Ghostless first sees this listing
  3. 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 Chaidiscovery, so its true age is longer.

Last checked Nov 4, 2026.

How well do you match?

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What 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

About Chai Discovery

Chai Discovery builds the computer-aided design suite for molecules. Eli Lilly , GSK , Pfizer , Bristol Myers Squibb , argenx and Novartis all use Chai to power drug discovery programs. AI is reinventing life sciences the same way it reinvented software engineering, and our team is building that future.

We train frontier models that learn the underlying foundations of biochemical structure and interaction. We pair this with a computational workspace to iterate on molecules from idea to medicine, helping scientists move faster and develop medicines beyond the reach of existing methods.

We value diverse perspectives and are ready to find greatness in unexpected places.

About the role

Build the AI platform that lets scientists direct research programs with agents. We believe that as Chai's models get more powerful, scientists will focus more on fundamental problems and biological hypotheses, and delegate more of the subtasks to answer them to agents. Making this possible requires inventing the abstractions through which people, agents, and Chai’s models collaborate.

  • Work with scientists and model researchers to define how agents use Chai’s foundation models to design molecules and guide experiments.
  • Build products that shorten the cycle from idea ➝ to experiment ➝ to the next decision, while scientists monitor and direct the work.
  • Build the core abstractions for agent execution, model inference, and scientific tools so new capabilities come together fluidly across the workspace.

About you

We look for technical depth, strong software architecture, and product judgment, with experience building complex applications or agent systems. You can find clear abstractions in a messy domain and build systems that hold up as their scope grows. We value a practical understanding of where agents fail and how to tell whether they’re doing useful work.

We offer

The opportunity to work at the vanguard of AI research and frontier biology, with world-class people, on a mission that matters. We protect and promote a culture of high velocity and ownership. We compensate our team accordingly.

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