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Senior Backend Engineer

AI Talent Now


Job Location:

San Francisco, CA - USA

Monthly Salary: $ 180000 - 250000
Experience Required: 5years
Posted: 4 September 2026 (16 hours ago)
Application Deadline: 2 December 2026
Vacancies: 1 Vacancy

Job Summary

AI Talent Now Job # ZR 102


We are seeking an experienced Backend Engineer with 4 YOE ideally from a fast-paced early-stage startup environment. You should be comfortable owning the end-to-end product lifecycle from ideation to deployment and have a track record of shipping new product features from scratch. Bonus points if you have experience with AI/LLM-native applications and are excited about the prospect of interacting with customers to translate feedback into features.

What youll do:

  • Build out new features and scale our backend capabilities with a primary focus on our core APIs.

  • Take ownership of backend services and drive the development of scalable production-ready solutions.

  • Work closely with the product and engineering teams to jointly develop and iterate on the product roadmap for core features.

  • Design build and maintain our backend stack including Python Kubernetes Terraform Postgres and Temporal.

  • Lead backend projects from prototype to production serving end users in a short amount of time.

  • Translate user feedback into features and proactively contribute to user discovery to improve our platform.



Requirements
Must-have
Work experience:

Mix of larger tech companies AND recent early/late-stage startup experience (VC-backed).

Hard skills:

Proficiency in Python or Typescript.


Baseline
Seniority:

3 - 8 years of experience in professional backend software engineering.

Work experience:

Distributed systems experience and a track record of building and launching full products/APIs 0 1 in production.

Education:

Top 50 CS school globally (or prestigious company background to compensate).

Hard skills:

Backend experience with Kubernetes or other container orchestration and Terraform or other IaC.


Nice-to-have
Work experience:

Developer tooling or B2B infrastructure experience (document security config-based products)


Hard skills:

Experience building or shipping AI/LLM-native applications




Required Skills:

Python or Typescript 0-1 production Kubernetes Terraform or other IaC


Required Education:

Computer science degree from top university