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Senior SW Engineer; Full Stack

Job in New York, New York County, New York, 10261, USA
Listing for: HRB
Full Time position
Listed on 2025-12-18
Job specializations:
  • IT/Tech
    AI Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Senior SW Engineer (Full Stack)
Location: New York

We’re a
well-funded, very early-stage startup
with a massive vision. Joining now means you’re not just an employee — you’re helping
set the technical and cultural DNA
of the company. If you’ve ever wanted the autonomy of a founder with the backing of top-tier investors, this is it.

What You’ll Build & Achieve

As our Senior Fullstack Engineer, you’ll be
hands-on across the stack
— designing, building, and scaling systems that power our AI-driven platform. Expect autonomy, speed, and a ton of ownership.

  • Architect and build scalable systems
    — from backend APIs to frontend dashboards — that process tens of millions of web events per day.

  • Design large-scale data infrastructure
    that explains how websites are built, why they perform the way they do, and how to optimize them.

  • Train and integrate LLMs
    into production to automatically hypothesize, generate, and validate website variants.

  • Shape engineering culture & practices
    — your fingerprints will be all over our tech stack, architecture, and team processes.

  • Experiment, prototype, and iterate
    — research + product + AI + scale, all at once.

This isn’t about maintaining yet another SaaS app — it’s about
building an AI engine that redefines how digital products are created.

Who We’re Looking For
  • A software craftsman
    — you write clean, scalable code and know how to ship at speed.

  • 5+ years fullstack experience (Python, JS, AWS preferred, but not a blocker).

  • Experience leading teams or driving major projects.

  • Background in CS, EE, Math, or equivalent hands-on mastery.

  • An
    AI enthusiast
    who wants to build with LLMs and shape how they’re applied in the real world.

Bonus Points:
  • Startup experience (you thrive in zero-to-one).

  • Experience training or deploying ML models in production.

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Position Requirements
10+ Years work experience
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