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Senior Backend Engineer (Python, Systems Design & LLM Agents) | New York

big wave digital - usa • United State
Remote
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Lead end-to-end development of LLM-powered backend systems for a high-growth startup, designing scalable architectures, building AI agents, and optimizing enterprise workflows. Own feature development from ideation to production, collaborating directly with founders and customers. Requires deep Python expertise, systems design, and hands-on LLM/agent experience with measurable business impact.

Key Highlights
Own full-stack development of LLM agents and backend systems for enterprise AI workflow optimization
Design scalable data models, APIs, and permission-aware retrieval systems for messy, high-volume company data
Work directly with founders on high-impact, ambiguous engineering challenges in a fast-growing startup
Key Responsibilities
Design and build LLM agents capable of reasoning over large, messy, and contradictory company data
Develop scalable backend systems, including data models, APIs, and permission-aware retrieval layers
Own features end-to-end from scoping and customer collaboration to production deployment
Set technical direction for a rapidly growing engineering team
Optimize AI model performance and cost efficiency while maintaining reliability for business-critical decisions
Technical Skills Required
Python Backend Architecture & Systems Design LLM & Agent Development
Benefits & Perks
Up to $300,000 base salary plus founding-level equity
Health, dental, and vision coverage
Flexible PTO, gym membership, meals, and transport stipend
Nice to Have
Experience with SQL databases
API design expertise
Experience with enterprise deployments and large-scale systems

Job Description

Senior Backend Engineer: Python, Systems Design & LLM Agents | New York | Up to $300K + Equity

"The Empire has more ships. We have better pilots, and we remember everything."

A rebel engineer, somewhere on the edge of the map

The 3 skills you must bring

  1. Deep production Python. You've built and run real backend services in it, not just listed it on a resume.
  2. Backend architecture and systems design. Data models, APIs, SQL stores and service boundaries that hold up at enterprise scale.
  3. Hands-on LLM and agent building. You've shipped something real with models, and you understand tokens, context, cost and failure modes from experience.

The Empire

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