Lead AI Engineer
Core
Lead the engineering of production-grade multi-agent AI workflows, LLM systems, and automation platforms to solve complex business problems and scale AI capabilities globally.
Role type
Senior IC Lead AI Engineer (Agentic Systems & LLMOps)
Builds
Multi-agent workflows, RAG architectures, LLMOps/MLOps pipelines, and internal AI enablement platforms.
Domain
Enterprise AI, Generative AI, Cloud Infrastructure (GCP)
Deliverable
production ML models | product features | infrastructure
Required skills
Python (production-grade), SQL (BigQuery), LLM orchestration (LangGraph, LangChain, AutoGen), MLOps/LLMOps, Cloud architecture (GCP Vertex AI, GKE), Team leadership, System design
Preferred skills
Google Cloud certifications, Experience with agentic AI patterns, Knowledge of AI safety and guardrails
Technologies
Python, SQL, LangGraph, LangChain, AutoGen, Vertex AI, BigQuery, GKE, Docker, Kubernetes
Responsibilities
Design and scale robust multi-agent workflows and advanced RAG architectures; Establish coding standards, testing frameworks, and evaluation metrics for generative AI; Build and maintain LLMOps/MLOps CI/CD pipelines; Implement automated guardrails for safety and compliance; Mentor junior and intermediate AI engineers; Translate business use cases into technical sprints and drive PoCs to production.
Seniority
Senior, hands-on IC with leadership responsibilities
