Generative AILLM Engineer

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.

Qualifications :

Qualifications

• Bachelors or Masters in Computer Science AI/ML Data Science or related discipline.
• 5 years of professional Python development experience (APIs microservices automation).
• Proven experience with LLMs (OpenAI Anthropic Meta Mistral etc.) and frameworks like LangChain or LlamaIndex.
• Strong knowledge of RAG architectures vector databases (Pinecone Weaviate Chroma Milvus Supabase) and semantic search.
• Experience with TTS/STT systems (OpenAI Whisper Coqui TTS ElevenLabs).
• Hands-on with generative image models (GPT-Image-1 Stable Diffusion ComfyUI).
• Proficiency with automation/orchestration platforms (n8n Make Zapier).
• Cloud deployment experience (GCP AWS or Azure) for AI services.
• Solid understanding of AI prompt engineering best practices.

Preferred:

• Experience with containerization/orchestration (Docker Kubernetes).
• MLOps experience with continuous training and deployment workflows.
• Frontend development skills (React or similar).
• Prior experience in self-storage real estate or retail technology environments

Success in This Role Looks Like

• Deploying AI-powered agents that improve customer self-service and automate internal processes.
• Implementing RAG systems that provide contextually accurate responses across multiple business areas.
• Reducing manual workloads through advanced AI-powered automation.
• Establishing reusable scalable AI components for enterprise-wide adoption

Additional Information :

Workplace

• One of our values pillars is to work as One Team and we believe that there is no replacement for in-person collaboration but understand the value of some flexibility. Public Storage teammates are expected to work in the office five days each week with the option to take up to three flexible remote days per month. 

Public Storage is an equal opportunity employer and embraces diversity. We do not discriminate on the basis of race color religion sex sexual orientation gender identity national origin age disability or any other protected status. All qualified candidates are encouraged to apply.

**Sponsorship for Work Authorization is not available for this posting.  Candidates must be authorized to work in the U.S. without restrictions or requiring sponsorship now or in the future. We do not provide training plans or support for F-1 OPT STEM OPT extensions or future visa sponsorship.**

Remote Work :

No

Employment Type :

Full-time