Lead AI Engineer role requiring 7-12 years experience to design, build, and deploy AI-powered applications using LLMs, Agentic AI architectures, and intelligent automation. Responsibilities include architecting AI-native applications, multi-agent AI systems, RAG pipelines, AI workflow orchestration, integrations via Model Context Protocol, production deployment with monitoring and CI/CD, and leading AI engineering teams. Required skills include strong expertise in LLM applications, Agentic AI, RAG, multi-agent systems, AI frameworks (LangChain, LangGraph, LangSmith), vector databases (Pinecone, Chroma), Python programming, containerization, cloud platforms (AWS, Azure), AI deployment and scaling, embedding models, semantic search, and Agile methodologies. Preferred non-technical skills include analytical problem solving, communication, time management, and teamwork. Benefits include working on next-generation AI platforms with cutting-edge technologies in a collaborative culture.
What you'll do
Design and develop AI-native applications powered by LLMs and agent frameworks
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Bellevue, United States; Boston, United States; Boulder, United States; Chicago, United States; Denver, United States; Los Angeles, United States; New York, US; San Francisco, United States; San Jose, United States; Seattle, United States; Ventura, United States•7 days ago
Opportunity to build next-generation AI platformsWork with cutting-edge Agentic AI and LLM technologiesHigh-impact role shaping AI product strategy and architectureCollaborative and innovation-driven engineering culture
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