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Full-time
bachelor degree, postgraduate degree
Posted 13d ago
~40 hrs/week
Responsibilities
Design, train, and deploy intelligent AI agents and RAG systems to automate internal processes and enhance customer self-service. Collaborate with cross-functional teams to build scalable, production-grade AI solutions and integrate them into business workflows.
Requirements
Requires a Bachelor’s or Master’s degree in Computer Science or a related field and at least 5 years of professional Python development experience. Candidates must have proven expertise in LLM architectures, RAG pipelines, and generative AI models with authorization to work in the U.S.
Full job description
Company Description
Since opening our first self-storage facility in 1972, Public Storage has grown to become the largest owner and operator of self-storage facilities in the world. With thousands of locations across the U.S. and Europe, and more than 170 million net rentable square feet of real estate, we're also one of the largest landlords.
We've been recognized as A Great Place to Work by the Great Place to Work Institute. And, our employees have also voted us as having Best Career Growth, ranked us in the Top 5% for Work Culture, and in the Top 10% for Diversity and Inclusion.
We're a member of the S&P 500 and FT Global 500. Our common and preferred stocks trade on the New York Stock Exchange.
Public Storage is the nation’s leading self-storage provider, recognized for its iconic orange doors and commitment to delivering simple, reliable solutions to millions of customers across the country. We are expanding our creative team to enhance our consistent and engaging visual brand presence.
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.
Qualifications
Qualifications
Bachelor’s or Master’s 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, Next.js, 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.
Public Storage built its first self-storage facility in 1972. Today we’re the nation’s largest self-storage provider and we couldn’t have done it without the support and dedication of all our team-members. It’s our people, the remarkable Public Storage family that makes us the leader in the industry! We’re privileged to have driven and talented groups of people across all levels of our organization; from our Property Managers who greet and assist our customers every day to our District Managers who strive to ensure each member of their team is trained for success; our Corporate team-members and Company Officers work passionately to provide Field Management with tools required for them to succeed. We owe our success to their effort and dedication. Be a part of our thriving community, the Public Storage Team! It’s Great To Be Orange. #GTBO
Explore our website for opportunities ranging from Property Management, Field Management, Corporate, Real Estate, IT and Call Center positions; you’ll find one that's just right for you. Training is on us, Success is yours to keep!
Offices: 2811 Internet Blvd, Frisco, Texas 75034, US · 701 Western Ave, Glendale, CA 91201, US
Based on 6747 listings with disclosed salaries, most engineering jobs in Texas pay between $83k–$202k per year. Individual offers vary with seniority, company size, and specialization.
How many Engineering jobs are open in Texas right now?
There are currently 28,666 open engineering positions in Texas listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Engineering roles in Texas?
Companies currently hiring include Amazon, SpaceX, Applied Materials, Celestica, Primoris Services Corporation, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Engineering jobs in Texas?
Yes — 5008 of the 28666 open engineering positions offer remote or hybrid work (1616 remote, 3392 hybrid).
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