Senior AI Workflow & Systems Engineer

Senior AI Workflow & Systems Engineer
Build and run the AI infrastructure that powers every team at TubeScience.

Role: Senior AI Workflow & Systems Engineer
Location: Remote (Los Angeles based preferred)
Compensation: Remote $70000$120000 Los Angeles $110000$160000
Reports to: VP of IS
Team: Information Systems

About TubeScience

TubeScience is a data-driven creative studio producing performance advertising at massive scale and were growing fast. Were looking for a Senior AI Workflow & Systems Engineer to be the most technically sophisticated AI builder in the company. Youll sit in IT but serve everyone owning the infrastructure deployments and systems that make our AI initiatives real and unblocking every team thats building on top of them.

The Role

This is a systems and deployment role for someone genuinely excited about where AI is taking enterprise engineering. You wont just design workflows youll own the infrastructure they run on keep them running reliably and be the expert other teams call when things break or they hit a wall.

You are the architect the deployer the maintainer and the unlocker all in one. When theres no PM driving an AI initiative youll step in and own it end-to-end.

What Youll Own

AI Workflow Engineering
- Build and deploy LLM-powered applications and agent-based workflows that eliminate manual effort across the company
- Design multi-step agentic pipelines tool use RAG structured outputs built for production not demos
- Integrate AI workflows with TubeSciences existing systems via REST APIs webhooks and custom integrations
- Develop automation pipelines
- Evaluate emerging AI tooling and own build-vs-buy decisions

Infrastructure & Deployment
- Own deployment and management of AI workflows and applications on Vercel and cloud platforms
- Build and maintain the infrastructure that supports TubeSciences AI initiatives including cloud-based agents serverless functions and supporting services
- Design for resilience: logging error handling alerting and monitoring across all deployed systems
- Manage secrets environment configs and deployment pipelines across environments
- Align with engineering on architecture scalability and infrastructure decisions

Cross-Functional Enablement
- Serve as the go-to technical resource for teams across TubeScience building AI-powered workflows and apps
- Deploy maintain and improve departmental AI tools owning the full lifecycle from build to production
- Debug and unstick builders across the company when they hit technical walls
- Translate team-specific business needs into precise technical requirements and actionable solutions
- Serve as final escalation for complex AI and systems issues teams cant resolve on their own

Ownership & Improvement
- Proactively audit AI systems and workflows for reliability issues inefficiencies and improvement opportunities
- When theres no dedicated PM on an AI initiative step in: define the problem scope the solution and drive it to completion
- Prototype emerging AI tools and frameworks and bring the best ones into TubeSciences stack
- Document every system thoroughly so the company can run it confidently

What Were Looking For

Background & Experience
- 46 years in software engineering DevOps or systems engineering with hands-on AI/ML experience
- Strong foundation as a software systems or DevOps engineer who has grown into AI not the other way around
- Proven experience deploying and managing production applications on Vercel AWS GCP or equivalent
- Hands-on with LLMs generative AI and orchestration tools (n8n Make Zapier LangChain or equivalent)
- Proven REST API integration experience with solid edge-case handling
- Experience building or maintaining cloud-based agents and serverless infrastructure

Technical Skills
- Strong Python and/or JavaScript/ clean production-grade code
- Solid understanding of deployment pipelines CI/CD environment management and secrets handling
- Experience with vector databases and embedding-based retrieval
- Comfortable with cloud infrastructure (AWS and/or GCP) and cloud-native application patterns
- Familiarity with monitoring logging and alerting for production systems

Soft Skills
- Highly autonomous identifies problems and ships solutions without waiting to be asked
- Effective communicator across technical and non-technical audiences
- Strong product instincts: can step into ownership of an initiative when theres no PM in the room
- Calm under pressure; reliable when other teams are blocked and need answers fast
- Comfortable working across many different teams and problem domains simultaneously

Bonus Points
- Experience with AI agent frameworks
- Background in high-volume performance advertising media or creative production
- Experience with AI in a production context
- Multi-step agentic pipeline design or large-scale workflow orchestration
- Experience with data pipelines or BI tooling

Benefits
Health Vision & Dental coverage
Unlimited PTO
401(k) Matching
Life Insurance
Paid Sick Days
Paid Parental Leav