Sr. AI Engineer

Posted Yesterday
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Salt Lake City, UT, USA
In-Office
Senior level
Other • Real Estate
The Role
Design and deliver scalable full-stack AI systems: architect backend AI agents and frontend React apps, optimize RAG/indexing and Lambda workflows, integrate frontend/backend, improve performance and CI/CD, test and red-team agents, analyze with DataDog/Databricks, mentor junior engineers and set development standards.
Summary Generated by Built In

*** Please note that this is a HYBRID role, requiring this person to work at our Cottonwood Heights office in SLC three days a week. We are not able to provide work sponsorship (i.e. OPT or H-1B visa) for this role ***

Sr. Engineer, AI
Job Summary
The Senior AI Engineer is responsible for designing and delivering scalable full-stack AI systems, with ownership of both backend agent architecture and frontend application performance. This role focuses on system design, performance optimization, establishing best practices across agent development and data workflows, and testing, ensuring AI capabilities are delivered through intuitive and reliable user experiences. The Senior AI Engineer also mentors junior team members and plays a key role in improving system reliability, scalability, maintainability, and the robustness of AI agents.
Duties & Responsibilities

· Design, implement, and maintain scalable AI agent architectures

· Own and optimize RAG pipelines, including indexing and retrieval strategies

· Architect and enhance Lambda-based data processing and indexing workflows

· Design and improve React application architecture and state management

· Ensure seamless integration between frontend interfaces and backend AI systems

· Optimize user experience for AI-driven applications (latency, streaming, feedback loops)

· Improve CI/CD pipelines and deployment processes across environments

· Develop and execute AI agent testing strategies, including functionality tests, performance evaluation, and contributing to red-teaming exercises

· Use DsPy or equivalent tools and methods to evaluate and improve AI agent performance

· Analyze system performance using DataDog and Databricks; implement improvements

· Mentor junior engineers and conduct code reviews across full-stack components

· Contribute to technical standards, development best practices, and agent evaluation guidelines

Qualifications

· 5–7 years of experience

· Proven experience building full-stack AI systems

Competencies

· Strong proficiency in TypeScript and Python

· Strong experience with React architecture and modern frontend patterns

· Deep understanding of LLM systems, RAG, and agent orchestration frameworks (e.g. LangGraph)

· Experience designing distributed and containerized systems

· Strong experience with AWS and Azure architecture, including multi-service integration

· Experience with DynamoDB and scalable storage patterns

· Strong experience with Databricks for analytics, monitoring, and optimization

· Familiarity with AI agent testing frameworks (such as DsPy or equivalent tools) and experience with red-teaming methodologies

· Advanced debugging, troubleshooting, and performance optimization skills

· Ability to define best practices for full-stack development and frontend-backend integration

Work Environment & Physical Requirements
Performs sedentary work in an office environment with limited lifting (less than 10 pounds) or walking required. Close visual acuity required to perform work at computer terminal. No exposure to adverse environmental conditions. Requires repetitive typing motion, talking, hearing, grasping and feeling.
Disclaimer
The job description outlines the general nature and scope of work employees perform in this role. It's not intended to be an exhaustive list of all duties, responsibilities, or qualifications required for the position. The company reserves the right to modify, revise, or update the job description to meet business needs.

If you are a current Extra Space employee, please apply through Jobs Hub in Workday.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Applications Deadline: Applications will be accepted until the position is filled.

Skills Required

  • 5-7 years of experience
  • Proven experience building full-stack AI systems
  • Strong proficiency in TypeScript
  • Strong proficiency in Python
  • Strong experience with React architecture and modern frontend patterns
  • Deep understanding of LLM systems, RAG, and agent orchestration frameworks (e.g., LangGraph)
  • Experience designing distributed and containerized systems
  • Strong experience with AWS architecture, including Lambda and multi-service integration
  • Strong experience with Azure architecture and multi-service integration
  • Experience with DynamoDB and scalable storage patterns
  • Strong experience with Databricks for analytics, monitoring, and optimization
  • Experience analyzing system performance with DataDog
  • Familiarity with AI agent testing frameworks (such as DsPy) and red-teaming methodologies
  • Advanced debugging, troubleshooting, and performance optimization skills
  • Experience improving CI/CD pipelines and deployment processes
  • Ability to mentor junior engineers and conduct code reviews
  • Ability to define best practices for full-stack development and frontend-backend integration
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The Company
HQ: Salt Lake City, UT
2,400 Employees
Year Founded: 1977

What We Do

Extra Space Storage offers climate-controlled, self storage units located all over the U.S It’s not easy being stuck in a job. Join a company that cares about you. We’re listed on multiple “Best Places to Work” awards (including Forbes, Glassdoor). We’re an S&P 500 company that hasn’t stopped growing since our founding in 1977. Self-storage is our product, helping people is our passion. Grow with us.

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