Senior AI Workflow & Systems Engineer

📋 Description

• Build and deploy LLM-powered apps and agent workflows.
• Design multi-step agent pipelines with tool use, RAG, outputs.
• Integrate AI workflows with TubeScience systems via REST APIs and webhooks.
• Own deployment and management of AI workflows on Vercel and cloud platforms.
• Design for resilience: logging, error handling, monitoring.
• Own end-to-end AI initiatives when PM is absent.

🎯 Requirements

• 4–6+ years in software engineering, DevOps, or systems with AI/ML.
• Strong software/systems/DevOps foundation evolving into AI.
• Proven production deployments on Vercel, AWS, GCP, or equivalents.
• Hands-on with LLMs, generative AI, and orchestration tools (n8n, Make, LangChain).
• REST API integration experience with edge-case handling.
• Experience building/maintaining cloud-based agents and serverless infra.

🎁 Benefits

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