Senior AI Systems Engineer: Production Automation

TubeScience

Los Angeles (CA)

Vor Ort

USD 110.000 - 160.000

Vollzeit

Vor 2 Tagen
Sei unter den ersten Bewerbenden
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Zusammenfassung

TubeScience in Los Angeles (preferred on-site) is seeking a Senior AI Workflow & Systems Engineer to design reliable production AI systems, integrate modern AI capabilities, and own them in production. You will work with internal stakeholders to identify bottlenecks, deploy AI-powered solutions rapidly, monitor performance, and continuously improve reliability, speed and impact.

This is an internal forward‑deployed role requiring strong Python, distributed systems expertise and experience

Qualifikationen

  • 3+ years of professional software or systems engineering experience.
  • Applied AI experience in production environments.
  • Strong Python engineering skills.
  • Experience integrating LLMs using APIs such as OpenAI, Anthropic.
  • Designs coordinating multiple APIs, databases and services.
  • Understanding distributed systems and production operations.
  • Independent, fast-paced startup environment.

Aufgaben

  • Design and build production AI applications that automate complex enterprise workflows.
  • Architect agent-based systems coordinating LLMs, APIs, internal services, databases and business logic, with reliable orchestration across tools and enterprise platforms.
  • Deploy AI systems with observability, monitoring, rollback strategies and operational safeguards.
  • Investigate production issues, analyze logs, debug failures and restore reliability when incidents occur.
  • Partner with Product, Operations, Creative, Engineering and Business teams to find high‑impact automation opportunities.
  • Prototype, validate, deploy and iterate quickly based on production performance and business outcomes, and keep improving existing systems for reliability, speed and impact.
  • You have 3+ years of professional software or systems engineering experience, building and operating production software used by real users or internal business teams.

Kenntnisse

Python
Applied AI
Production systems
Distributed systems
APIs & integrations
Independent work
End-to-end architecture

Tools

Docker
Kubernetes
AWS
LangGraph
MCP
Temporal
GCP
Azure

Jobbeschreibung

TubeScience in Los Angeles (preferred on-site) is seeking a Senior AI Workflow & Systems Engineer to design reliable production AI systems, integrate modern AI capabilities, and own them in production. You will work with internal stakeholders to identify bottlenecks, deploy AI-powered solutions rapidly, monitor performance, and continuously improve reliability, speed and impact.

This is an internal forward‑deployed role requiring strong Python, distributed systems expertise and experience

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