Job description

Netic is the AI revenue engine for essential services who are the backbone of the American economy. With $43M in funding from Founders Fund, Greylock, Hanabi, and Dylan Field who led our Series B, we helped our customers book hundreds of thousands of jobs across services industries in North America. There are now companies operating entirely AI-first on Netic. You’ll join our team with relentless builders from Scale, Databricks, HRT, Meta, MIT, Stanford, and Harvard in bringing frontier AI to the physical economy, where the problems are hard, the data is complex, and the impact is immediate and tangible. This is a rare opportunity to build a frontier AI system and the engineering organization around it. What You'll Do: - Help found our New York office: Set the bar and pace for a serious builder culture unique to our New York location. - Build the agent harness: Build systems that run live customer conversations and take real actions under tight latency and reliability constraints. - Make agents measurable: Build the evaluation, observability, and tooling that help us understand how agents behave in production and improve them quickly. - Co-create with customers: Work closely with our customers to understand workflows, gather feedback, and turn pain points into features that stick. - Own end-to-end delivery: Own delivery from spec to production for systems that keep agents running around the clock. What You'll Bring: - Founder-level ownership: You run toward ambiguous problems, write clean code quickly, and thrive in autonomous work environments. - Proven product builder: A history of delivering user-facing software at scale; you’ve carried features through multiple release cycles. - Full-stack fluency: Comfortable with React, TypeScript, Python; experience with databases and cloud infrastructure. - AI experience (nice-to-have): Hands-on experience with LLM APIs, embeddings, or RAG patterns—or a hunger to learn fast. - Customer empathy: Track record of translating stakeholder goals into crisp technical specs and delightful products. - Excellent communicator: Able to explain architectural trade-offs to eng and business outcomes to execs. Our values 1. Obsess over the customer 2. Every second counts 3. Sweat the details 4. There are no blockers 5. Be self-directed 6. Seek and speak the truth 7. Enjoy the ride We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.

Requirements

Must-haves

This is a rare opportunity to build a frontier AI system and the engineering organization around it.
Help found our New York office: Set the bar and pace for a serious builder culture unique to our New York location.
Build the agent harness: Build systems that run live customer conversations and take real actions under tight latency and reliability constraints.
Make agents measurable: Build the evaluation, observability, and tooling that help us understand how agents behave in production and improve them quickly.
Co-create with customers: Work closely with our customers to understand workflows, gather feedback, and turn pain points into features that stick.
Own end-to-end delivery: Own delivery from spec to production for systems that keep agents running around the clock.
Founder-level ownership: You run toward ambiguous problems, write clean code quickly, and thrive in autonomous work environments.
Proven product builder: A history of delivering user-facing software at scale; you’ve carried features through multiple release cycles.
Full-stack fluency: Comfortable with React, TypeScript, Python; experience with databases and cloud infrastructure.
Customer empathy: Track record of translating stakeholder goals into crisp technical specs and delightful products.
Excellent communicator: Able to explain architectural trade-offs to eng and business outcomes to execs.

Nice-to-haves

AI experience (nice-to-have): Hands-on experience with LLM APIs, embeddings, or RAG patterns—or a hunger to learn fast.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aireacttypescriptpythonllm

Platform: ashby
Effort: quick