Key skills
PythonAIMLLLMOpenAIAnthropicRAGLangChainLlamaIndexAgenticLangGraphAnalyticsCI/CDCommunication
About this role
Vivint is a company that focuses on creating smarter and cleaner home services. They are seeking a Senior Agentic AI Engineer to build reusable platform capabilities for smart-home experiences, transitioning from AI-assisted workflows to systems that reason over home context and operate safely.
Responsibilities:
- Build agent orchestration, tool registry, memory, RAG/retrieval, and prompt/version management systems
- Develop replay, debugging, tracing, observability, and evaluation patterns for agentic workflows
- Define safety gates, action boundaries, grounding strategies, and customer-trust mechanisms for agents
- Create reusable agent primitives for Home Highlights, search, summaries, automations, personalization, and future smart-home use cases
- Partner with AI Platform, Product, Analytics, Privacy, and Engineering to productionize agentic experiences
- Mentor teams on agent architecture, retrieval quality, memory design, and evaluation practices
Requirements:
- Bachelor's degree in Computer Science, Software Engineering, AI/ML, or a related technical field, and 5+ years of professional experience in software development, applied science, or ML engineering; or
- Master's degree in Computer Science, Software Engineering, AI/ML, or a related technical field, and 2+ years of professional experience in software development, applied science, or ML engineering
- Experience building LLM, RAG, agentic, or tool-calling systems in production or near-production environments
- Strong Python and backend engineering skills
- Experience with prompt engineering, retrieval, vector stores, evaluation, and cloud deployment
- Familiarity with distributed systems, APIs, observability, and CI/CD workflows
- Excellent problem-solving and cross-functional communication skills
- Experience with Google ADK, LangGraph, LangChain, OpenAI Agents SDK, Anthropic, LlamaIndex, or similar frameworks
- Experience with AI memory systems, workflow orchestration, agent tracing, or replay/debugging tools
- Experience building consumer-facing AI products, assistants, automations, or recommendation systems
- Experience with privacy, safety, grounding, or evaluation for LLM-powered products
- Experience with smart home, IoT, edge/cloud, or real-time event systems