Principal AI Systems Engineer (LLM Backend Architect)

engineeringjobs.net, Inc.

San Francisco (CA)

On-site

USD 180,000 - 240,000

Full time

2 days ago
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Benefits offered by this job

Paid Time Off
Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Support
Paid Parental Leave
Life Insurance
Disability Insurance
401(k)
Employee Stock Purchase Program

Job summary

engineeringjobs.net, Inc. is seeking a senior backend and AI systems architect to design and deliver reliable AI agents and backend platforms in production.

You will work directly with customers to validate workflows and shape reusable product capabilities, while guiding architecture and mentoring engineers. You will own choices around concurrency, state management, retries, and recovery, and you will translate customer problems into production-ready solutions, leveraging Python, Go, Java, or

Qualifications

  • Led complex backend systems from architecture to production.
  • Hands-on shipping and operating LLM-powered systems.
  • Ability to reason about concurrency, persistent state, retries and partial failures.

Responsibilities

  • Design and deliver reliable AI agents and backend systems.
  • Work directly with customers to validate workflows.
  • Shape reusable product capabilities and guide architecture.
  • Mentor engineers and contribute hands-on.

Skills

AI Systems Architecture
LLM-Powered Systems
Backend Engineering
Python
Go
Java
JavaScript
TypeScript
Workflow Orchestration
Persistent State Management
Concurrency
Failure Handling
Retries
Evaluation Frameworks
Browser Automation
Customer Engagement

Job description

engineeringjobs.net, Inc. is seeking a senior backend and AI systems architect to design and deliver reliable AI agents and backend platforms in production.

You will work directly with customers to validate workflows and shape reusable product capabilities, while guiding architecture and mentoring engineers. You will own choices around concurrency, state management, retries, and recovery, and you will translate customer problems into production-ready solutions, leveraging Python, Go, Java, or

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