greenhouse
Senior AI Workflow & Systems Engineer
tubescience52
Los Angeles, USA
Onsite
Discovered 2 weeks ago
LLM-powered applicationsAgent-based workflowsRAG and structured outputsREST APIs and webhooksVercelAWS and/or GCP
Free
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Ready to ScanKey skills for this role
LLM-powered applicationsAgent-based workflowsRAG and structured outputs
Role Overview
Build and run the AI infrastructure that powers teams across TubeScience.
Own AI workflow architecture, deployment, maintenance, and technical enablement across the company.
The role reports to the VP of IS within the Information Systems team.
Key Skills for This Role
LLM-powered applicationsAgent-based workflowsRAG and structured outputsREST APIs and webhooksVercelAWS and/or GCP
Full Job Posting
Role Overview
Build and run the AI infrastructure that powers teams across TubeScience.
Own AI workflow architecture, deployment, maintenance, and technical enablement across the company.
The role reports to the VP of IS within the Information Systems team.
Location and Compensation
- The role is remote, with Los Angeles-based candidates preferred.
- Compensation is listed as $70,000–$120,000 for remote work and $110,000–$160,000 for Los Angeles-based work.
AI Workflow Engineering
- Build and deploy LLM-powered applications and agent-based workflows.
- Design production-ready multi-step agentic pipelines with tool use, RAG, and structured outputs.
- Integrate workflows through REST APIs, webhooks, and custom integrations.
- Develop automation pipelines and evaluate emerging AI tooling.
Infrastructure and Deployment
- Manage AI workflows and applications on Vercel and cloud platforms.
- Maintain cloud-based agents, serverless functions, and supporting services.
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