Sr Software Engineer, Agentic AI
About The Position
We are seeking a Sr Agentic AI Engineer to build reusable agentic platform capabilities for smart-home experiences. This role will help Vivint move from AI-assisted workflows and LLM-powered features toward systems that reason over home context, use tools, maintain memory, evaluate outcomes, and operate safely. In this role, you will be responsible to: 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
Nice To Haves
- 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
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.
Benefits
- medical
- vision
- dental
- 401K
- flexible spending accounts
- Paid holidays and flexible paid time away
- Employee/Friends/Family Discounts
- 401(k) + Employer Match
- Employee Resource Groups
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What This Job Offers
Job Type
Full-time
Career Level
Senior
