You will be the primary driver for designing and implementing the Auto-Moderation Service and other AI-driven capabilities
Your work will directly automate content ensure brand safety, and improve creator workflows using LLMs and automation frameworks
You will report into the Tech Lead and work with Full Stack Developers to embed intelligent agents and automated decision-making directly into the platform's core architecture.

Requirements

Experience operating at a Mid to Senior level in a relevant technical role (Automation, Software Engineering, AI/ML Engineering)
Hands-on experience applying AI/ML concepts (specifically NLP, LLMs, embeddings, and RAG) to solve practical business problems
Expertise in designing autonomous agent architectures, including agent memory, strict safety guardrails, and task performance
Experience designing and implementing process automation solutions using workflow tools (especially Temporal.io, n8n) or custom scripting
Proficiency in Python (for AI/ML services) and TypeScript/Node.js (for integration)
Understanding of modern best practices: version control (Git), CI/CD principles, automated testing, and writing clean, maintainable code
Ability to design AI services that integrate cleanly with modern web architectures (REST/GraphQL APIs, microservices) and existing platforms
Identify opportunities to automate personal workflows and tasks, showcasing a commitment to efficiency through the use of AI tools
A customer-centric mindset, empathy for end-user needs, and a coaching approach with a willingness to share knowledge.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI/ML EngineeringNLPLLMsembeddingsRAGprocess automationPythonTypeScriptNode.jsautonomous agent architectures

Soft Skills

customer-centric mindsetempathycoachingknowledge sharingcommitment to efficiency