Principal ML Engineer (Agentic AI)-Vendor Data Team
Core
Design and own end-to-end ML and data systems for an AI Account Manager that reasons, acts, and automates workflows for food delivery vendors.
Role type
Principal ML Engineer (Agentic AI)
Builds
AI-native products operating businesses, specifically a 360° AI Account Manager for food delivery platforms.
Domain
Food delivery / Agentic AI / Data Engineering
Deliverable
production ML models
Required skills
Python, SQL, Docker, Kubernetes, Infrastructure as Code (Terraform), RAG systems, embedding workflows, real-time data processing, ML system integration, API integration, observability, security best practices for AI
Preferred skills
LLMs, agent architectures (LangGraph, AutoGen, CrewAI), synthetic data generation, AI feedback loops, agent/ML observability tools (Langfuse, LangSmith), model serving, open-source models (LLaMA, Mistral, Mixtral), system reliability patterns
Technologies
Python, SQL, Docker, Kubernetes, Terraform, LangGraph, AutoGen, CrewAI, Langfuse, LangSmith, LLaMA, Mistral, Mixtral
Responsibilities
Design and own end-to-end ML and data systems from ingestion to production deployment; Architect and maintain scalable data pipelines for RAG and real-time processing; Build and operate production-grade ML services and APIs; Define standards for infrastructure, deployment, and system reliability; Integrate ML systems with external APIs and operational platforms; Lead implementation of security best practices for AI systems
Seniority
Principal, hands-on IC