Software Engineer, AI Systems (PMTS)

Salesforce

San Francisco (CA)

Vor Ort

USD 180.000 - 240.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Benefits dieser Stelle

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

Zusammenfassung

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

Qualifikationen

  • 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.

Aufgaben

  • 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.

Kenntnisse

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

Jobbeschreibung

Design and deliver reliable AI agents and backend systems that combine model reasoning with deterministic workflow execution, including verification, recovery, state management, and evaluation. Work directly with customers to validate workflows and shape reusable product capabilities, while guiding architecture, mentoring engineers, and contributing hands‑on.

Requirements

Candidates should have led complex backend systems from architecture through production, have hands‑on experience shipping and operating LLM-powered systems, and be able to reason about concurrency, persistent state, retries, and partial failures. Proficiency in Python, Go, Java, or JavaScript/TypeScript is required, along with the ability to turn customer problems into production-ready solutions and engage directly with customers.

Key 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
Benefits
  • 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
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