Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Vuori

Principal AI Engineer

Vuori

. Set the direction and evolution of Vuori's AI platform and technical standards .

Posted 10/30/2026full-timeRemote • California • United StatesLead💰 $197,500 - $264,390 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and operating production AI systems, with a strong focus on integrating LLMs, APIs, and enterprise data sources. Proficient in establishing AI governance, security, and best practices while driving innovation in AI-powered applications.

Highest-signal resume keywords
Production AI Systems DevelopmentPython ProgrammingAPI DevelopmentAI Governance and SecurityLLM Integration

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Software EngineeringAI Evaluation FrameworksAgentic SystemsCloud-Native ApplicationsRAG ArchitecturesVector DatabasesMLOpsAI Deployment PipelinesData ScienceArtificial Intelligence
Soft Skills
Analytical SkillsProblem-Solving SkillsCommunication Skills
Tools & Technologies
Azure AI FoundryGoogle Gemini EnterpriseMicrosoft Agent 365Copilot StudioAzureAWSGoogle Cloud Platform
Industry Keywords
RetailDirect-to-ConsumerEcommerceConsumer Operating Environment

Tech Stack

Tools & technologies
AWSAzureCloudGoogle Cloud PlatformPython

About the role

Key responsibilities & impact
  • Set the direction and evolution of Vuori's AI platform and technical standards
  • Raise engineering capability through review, pairing and reusable tooling
  • Make build-versus-buy decisions shaping the AI platform
  • Establish best practices for AI development, testing, evaluation, monitoring, observability and reliability
  • Implement governance, security and guardrails for responsible and trustworthy AI solutions
  • Design, build and deploy AI-powered applications, intelligent agents and agentic workflows
  • Develop systems leveraging planning, reasoning, memory and tool usage to automate and augment complex business processes
  • Integrate LLMs, enterprise data sources, APIs and business systems into end-to-end AI experiences
  • Build and maintain scalable agent orchestration, RAG and knowledge retrieval architectures
  • Prototype emerging AI capabilities and translate concepts into production-ready solutions
  • Partner with business and technology leaders to identify high-value AI opportunities
  • Monitor solution performance, measure business impact and continuously improve outcomes through data and feedback

Requirements

What you’ll need
  • Bachelor's degree in Computer Science, Engineering, Artificial Intelligence, Data Science or a related technical field, or equivalent years of experience preferred
  • 10+ years of software engineering experience
  • 2+ years building and operating production AI systems
  • Demonstrated experience building and operating agentic systems in production environments, including planning, reasoning, memory and tool-calling
  • Demonstrated experience designing and implementing AI evaluation frameworks, testing methodologies and production monitoring
  • Strong proficiency in Python
  • Experience building APIs, backend services and cloud-native applications
  • Deep experience with modern LLM platforms and orchestration frameworks
  • Experience integrating AI systems with enterprise APIs, databases, SaaS platforms and business systems
  • Strong analytical, problem-solving and communication skills
  • Experience with RAG architectures, vector databases, embeddings and enterprise knowledge retrieval systems
  • Experience with low-code and pro-code enterprise AI platforms such as Azure AI Foundry, Google Gemini Enterprise, Microsoft Agent 365 or Copilot Studio
  • Experience with cloud platforms such as Azure, AWS or Google Cloud Platform
  • Experience with AI observability, governance, security and compliance frameworks
  • Familiarity with MLOps, model lifecycle management and AI deployment pipelines
  • Experience in retail, direct-to-consumer, ecommerce or a similar consumer operating environment
  • Demonstrated passion for emerging AI technologies and applied innovation

Benefits

Comp & perks
  • Health Insurance
  • Savings and Retirement Plan
  • Employee Assistance Program
  • Generous Vuori Discount & Industry Perks
  • Paid Time Off
  • Wellness & Fitness benefits
  • Bonus eligible