Founding Member of Technical Staff

Neuroscale AI

2d•Onsite

About The Position

Neuroscale is hiring an early engineering team member to work directly with the founders on core technical challenges in its AI recruiting platform, Arbi, and its federal-workflow product, Athena. The role focuses on building systems that interpret nuanced hiring requirements, interview candidates at scale, guide agent outreach and human handoffs, and deliver a strong recruiter experience. The hire will design, build, and ship features end to end, most of them built on LLMs. Recent areas of work include agent execution infrastructure, feedback loops that improve search quality based on recruiter behavior, and multi-tenant deployment for regulated customers. The position offers direct ownership of core systems and architecture from day one, meaningful founding equity, and the opportunity to contribute to products serving federal, enterprise, and regulated organizations. The team works in person in Northern Virginia. Candidates should be based there or willing to relocate.

Requirements

Have built something from scratch, such as a startup, product, or system people depend on.
Demonstrate a track record of shipping work; the company values what candidates have built over where they have worked.
Show high agency by identifying and taking ownership of high-leverage problems.
Have demonstrated excellence in work, school, open source, or a successful side project.
Have real experience with Next.js, Node.js, AWS, and search or data infrastructure.
Be based in or willing to relocate to Northern Virginia, where the team works in person.

Nice To Haves

Experience with LLM products.
Experience with voice or conversational AI.
Experience with search at scale.

Responsibilities

Design, build, and ship product features end to end, primarily using LLMs.
Work with the founders on technical challenges involving hiring-requirement understanding, candidate search, candidate interviews, agent outreach, and human handoffs.
Build and improve agent execution infrastructure.
Develop feedback loops that improve search quality based on recruiter behavior.
Support multi-tenant deployment for regulated customers.
Take ownership of core systems and influence the product architecture.