Senior AI Workflow & Systems Engineer is a AI Infrastructure Engineer role (full-time). with TubeScience. in REMOTE, WORLDWIDE. Compensation shown: $70K–$120K. Imported listing (source: flexgen.zya.me). Apply on the employer's site (flexgen.zya.me).
Imported listing (source: flexgen.zya.me) · Apply on flexgen.zya.me
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Imported job description
Sourced from flexgen.zya.me
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
TubeScience is a performance-focused advertising and creative production company. It combines creators, in-house production, data, testing, and intelligence to produce scalable video and paid-social/CTV advertising designed to improve measurable customer acquisition.
