Founding Member of Technical Staff

Neuroscale AI; United States; On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Relocation support

Founding equity

Meals provided in office

Comprehensive health, dental, and VIs?

Job summary

Neuroscale AI is seeking a founding engineer to join the core product team in Northern Virginia. You will work directly with the founders on the hardest technical questions, building features end to end using Next.js, Node.js, Python FastAPI, OpenSearch and AI models.

You will shape the product from day one, influence architecture, and own critical systems that power our AI recruiting platform. You will contribute to agent execution, scalable search, and multi-tenant deployment for regulated

Qualifications

• Built something from scratch: startup, product, or system others depend on.
• Able to ship tangible results and demonstrate impact regardless of previous company.
• High agency: identify high-leverage problems and own them.
• Proven excellence in work, school, open source, or side projects.
• Willing to join founding team and take on ownership of critical systems.
• Experience with Next.js, Node.js, AWS, and search or data infrastructure.

Responsibilities

• Design, build, and ship features end to end, often on LLM-based tech.
• Develop agent execution infrastructure and feedback loops to improve search quality.
• Support multi-tenant deployment for regulated customers.
• Collaborate with founders on the hardest technical questions in the product.

Skills

Ownership

Shipping products

Startup experience

LLM/AI product experience

Data infrastructure

Tools

Next.js

Node.js

AWS

Search infrastructure

Job description

About Neuroscale

Neuroscale is on a mission to fill the world's most important roles.

Recruiting is a zero-sum game. The best people get hired once, and the teams that move fastest win. We build Arbi, an AI recruiting platform that combines autonomous agents with elite recruiters so world-class companies and federal agencies can hire well and grow fast.

Arbi searches 800M+ profiles, runs outreach, and interviews candidates at scale. Through every search, placement, and interaction on our platform, we capture proprietary hiring data that no one else has at scale, and that data powers the agentic systems we are building to make hiring faster, smarter, and more precise.

We believe AI will create more jobs, not less. As companies move faster with fewer constraints, they will hire more ambitiously and for roles that did not exist before, making the hiring layer more critical than ever.

We hold a USAF SBIR Direct-to-Phase-II contract, sell into federal through Carahsoft, and work with enterprise, federal, and regulated organizations that most AI startups cannot touch. Our second product, Athena, extends the same agent infrastructure into federal agency workflows.

We are a small, founder-led team and this is one of the first engineering seats.

About the Role

You will work directly with the founders on the hardest technical questions in the product:

• How do we understand the nuance in a hiring requirement well enough to find the person a filter & criteria search never would?




• How do we interview candidates at scale and turn those conversations into a data edge no public profile can give you?




• How do agents decide who to reach out to, what to say, and when to hand off to a human?




• How do we make a recruiter say \"wow\" in the first five minutes?

You will design, build, and ship features end to end, most of them built on LLMs. Recent work includes agent execution infrastructure, feedback loops that improve search quality from recruiter behavior, and multi-tenant deployment for regulated customers.

Our stack: Next.js + React, Node.js, Python FastAPI, OpenSearch (Elasticsearch), Temporal, and a range of inference providers and models.

About You

• You have built something from scratch. A startup, a product, a system people depend on.




• You ship. We care more about what you have built than where you have worked.




• You are high agency. You find the highest-leverage problem, decide it is yours, and attack it.




• You have shown excellence somewhere: work, school, open source, a side project that took off.




• You take asymmetric bets. Joining a founding team is one of them.




• You have real experience with the core of our stack: Next.js, Node.js, AWS, and search or data infrastructure.




• Experience with LLM products, voice or conversational AI, or search at scale is a plus, not a filter.




• Based in or willing to relocate to Northern Virginia. We build in person.

Why Founding

• Direct ownership of core systems from day one. Your decisions become the architecture.




• Meaningful founding equity. You should share in what you build.




• Work on problems with real stakes: federal hiring, regulated industries, roles that matter.




• A front-row seat to going from early traction to category leader.

Compensation and Benefits

• Competitve salary plus meaningful founding equity.




• Comprehensive health, dental, and vision coverage.




• Meals provided in office.




• Relocation support for the right candidate.

Neuroscale AI is an equal opportunity employer.