About the Role

TubeScience is a data-driven creative studio seeking a Senior AI Workflow & Systems Engineer to own AI infrastructure and deployment. The role involves building and deploying LLM-powered applications and agentic workflows, integrating them with existing systems, and providing cross-functional technical enablement across the company.

Responsibilities

Build and deploy LLM-powered applications and agent-based workflows for production
Design multi-step agentic pipelines using tool use, RAG, and structured outputs
Integrate AI workflows with existing systems via REST APIs, webhooks, and custom integrations
Own deployment and management of AI workflows on Vercel and cloud platforms
Build and maintain infrastructure including cloud-based agents, serverless functions, and supporting services
Design for resilience with logging, error handling, alerting, and monitoring
Serve as the go-to technical resource and escalation point for AI workflows across teams
Prototype emerging AI tools and document systems thoroughly

Requirements

4–6+ years in software engineering, DevOps, or systems engineering with hands-on AI/ML experience
Proven experience deploying and managing production applications on Vercel, AWS, GCP, or equivalent
Hands-on with LLMs, generative AI, and orchestration tools such as n8n, Make, Zapier, or LangChain

TubeScience

Los Angeles · US · 342+ employees

TubeScience is an advertising services company that specializes in performance-driven video creative for paid social and CTV. It operates as a behavioral R&D lab, using data and real-time performance analysis to produce videos guaranteed to convert.

AI Engineering Lead (Python Software Engineer + GenAI) | Digital&IPA (freelance)

Digital&IPA

REMOTE · WORLDWIDE

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REMOTE · WORLDWIDE

$44K–$55K

Senior AI Workflow & Systems Engineer

About the Role

Responsibilities

Requirements

TubeScience

Senior AI Workflow & Systems Engineer

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