Clera
via Ashby
Member of Technical Staff
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 3h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 4h ago
The date the source published, not the day we noticed it (2026-09-16). Last seen at its source just now.
Is it remote?
remote
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
Not stated
The description states no restriction of its own. This is the source's own tag.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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ashby employer's own board first seen 3h ago · last seen just now
The listing
About the Role
This is a founding engineer opportunity at an early-stage AI infrastructure startup building the backbone for AI-native service businesses. You will help define the technical foundation of a platform where AI workers execute tasks and human operators orchestrate at scale. Your work will directly shape the architecture, culture, and trajectory of the engineering team.
What You'll Do
Design and build core infrastructure that enables AI agents to reliably execute complex, real-world service workflows.
Make foundational architectural decisions that will influence the system for years to come.
Collaborate closely with the founder to translate product vision into robust, scalable engineering.
Establish engineering practices, tooling, and standards as one of the earliest technical hires.
Iterate rapidly on systems that sit at the intersection of AI orchestration and operational reliability.
What We're Looking For
8 to 10 or more years of software engineering experience, with a track record of building and shipping production systems.
Strong CS fundamentals and experience designing distributed or infrastructure-level systems.
Hands-on experience in AI/ML systems, agent frameworks, or AI-adjacent infrastructure.
Comfort operating with high ambiguity and taking ownership in a zero-to-one environment.
Prior experience at an early-stage startup or in a founding engineer role is a strong plus.
Background in industries such as workforce automation, marketplace platforms, or AI tooling is relevant.
Location
Details on work arrangement and primary location are not specified. Please refer to the application listing for the most current information.