Generative Ai/Llm Engineer

Job Description

We are seeking a Generative AI / LLM Engineer with strong full-stack and Python development expertise to design, build, and deploy intelligent agents, Retrieval-Augmented Generation (RAG) systems, voice and image AI models, and automation workflows. This role is onsite in Frisco, TX and will work closely with product, engineering, and operations teams to deliver scalable, production-grade AI/Agent solutions that transform how Public Storage operates and engages with customers.

Key Responsibilities

• LLM Agent Development: Design, train, and deploy conversational and task-specific AI agents leveraging cutting-edge LLM architectures and tool integrations.
• RAG Pipelines: Build and optimize Retrieval-Augmented Generation systems for contextual, knowledge-rich AI responses.
• Voice & Speech AI: Implement and integrate TTS (Text-to-Speech), STT (Speech-to-Text), and Whisper-based transcription pipelines.
• Generative Image AI: Develop and integrate image generation, recognition, and analysis models for operational and customer-facing use cases.
• Automation & Orchestration: Create workflow automations using tools like n8n, Make (Integromat), Zapier, and custom Python frameworks.
• Full-Stack AI Delivery: Build APIs, microservices, and interfaces to deliver AI solutions end-to-end, from data ingestion to UI.
• Performance Optimization: Monitor, evaluate, and improve AI model performance for accuracy, latency, and scalability.
• Collaboration: Partner with cross-functional teams to integrate AI capabilities into business processes and customer products.
• Security & Compliance: Ensure AI solutions adhere to corporate security policies, privacy regulations, and ethical AI principles.