Senior AI Workflow & Systems Engineer

📋 Description

• Build and run the AI infrastructure powering TubeScience.
• Own end-to-end AI workflows and agent-based pipelines.
• Integrate AI workflows with TubeScience systems via APIs and webhooks.
• Deploy and manage AI infrastructure on Vercel and cloud platforms.
• Design for resilience: logging, monitoring, secrets, and deployment pipelines.
• Serve as a technical resource across teams and unblock builders.

🎯 Requirements

• 4-6+ years in software engineering, DevOps, or systems engineering with AI/ML experience.
• Strong foundation as software/systems/DevOps engineer who has grown into AI.
• Proven experience deploying/maintaining production apps on Vercel, AWS, GCP, or equivalent.
• Hands-on with LLMs, generative AI, and orchestration tools (n8n, Make, Zapier, LangChain).
• REST API integration experience with edge-case handling.
• Experience building or maintaining cloud-based agents and serverless infrastructure.

🎁 Benefits

• Health, Vision & Dental coverage
• Unlimited PTO
• 401(k) + Matching
• Life Insurance
• Paid Sick Days
• Paid Parental Leave