Lead Applied AI Engineer
Core
Design, implement, and deploy end-to-end AI workflows and agents across multiple business domains.
Role type
Lead Applied AI Engineer (LLM Agents)
Builds
Agent architectures, evaluation pipelines, monitoring systems, and performance frameworks
Domain
Generative AI / LLM Agents / Software Engineering
Deliverable
production ML models
Required skills
LLM-powered application development, agent architecture design, evaluation pipeline implementation, monitoring system design, prompting engineering, retrieval orchestration, inference API integration, model selection across modalities, Python, TypeScript
Preferred skills
LangChain, LangGraph, open-source project contribution
Technologies
LangChain, LangGraph, Python, TypeScript
Responsibilities
Develop agent architectures and evaluation pipelines, lead technical projects and set code quality standards, mentor engineers, translate customer requirements into technical plans, identify automation opportunities with cross-functional teams, contribute to LangChain and LangGraph ecosystems
Seniority
Senior, hands-on IC with leadership responsibilities