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Agentic Ai Engineer Jobs in Reno, NV (NOW HIRING)

AI-Native UI React Engineer

Truckee, CA · On-site +1

$140K - $210K/yr

We are betting the engineering org on agentic coding. Our team has already made the transition. Cursor is our primary development environment, and we hire engineers who orchestrate AI agents to ship ...

... agentic engineering'. Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 ...

Agentic Ai Engineer information

See Reno, NV salary details

$38.9K

$101.5K

$137.1K

How much do agentic ai engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for agentic ai engineer in Reno, NV is $101,454.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,800.00 and $116,200.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or AI engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries. These roles often require expertise in programming, system architecture, and sometimes leadership or management responsibilities.

What does an agentic AI engineer do?

An agentic AI engineer designs and develops autonomous AI systems capable of making decisions and taking actions independently. They work with machine learning models, reinforcement learning, and AI frameworks to create systems that can adapt and operate in dynamic environments, often requiring knowledge of programming, data analysis, and AI ethics.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as an AI engineer or researcher, with a total compensation package that includes salary, bonuses, and stock options reaching or exceeding this amount. These roles often require advanced skills in machine learning, deep learning, and data science, along with significant experience and sometimes leadership responsibilities.

What is the salary of agentic AI engineer?

The salary of an agentic AI engineer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in machine learning and AI development may earn higher compensation, often including benefits and bonuses.
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AI-Native React Engineer, Embeddable Widgets and AI-Powered Frontends,

AI-Native React Engineer, Embeddable Widgets and AI-Powered Frontends,

Pop-Up Talent

Truckee, CA • Remote

$140K - $210K/yr

Full-time

Medical

Posted 16 days ago


Job description

AI-Native React Engineer – Embeddable Widgets & AI-Powered Frontends (Greenfield)
Remote (US-based)

  • Type: Full-time
  • Compensation: $140,000–$210,000 base (higher possible for exceptional agentic-native candidates)
  • Reports to: VP of Engineering (direct CEO visibility)

 
OVERVIEW:

  • This is a greenfield frontend engineering role focused on building a composable React widget framework and embeddable, data-rich frontend experiences powered by AI
  • The company is a profitable, owner-operated platform transforming complex property and public records data into actionable insights for small businesses. The team is investing heavily in a modern frontend and data platform to support its next stage of growth
  • The engineering culture is AI-first and agentic-native, with Cursor as the primary development environment. Engineers are expected to use AI agents as a core part of their workflow to achieve significantly higher development velocity—not just occasional AI-assisted coding

 
ROLE OVERVIEW:

  • You will lead the design and development of a composable widget system that can be embedded across multiple environments (iframes, web components, shadow DOM, sandboxed contexts)
  • You will define architecture, component models, and developer experience for a new frontend platform while working closely with executive leadership on product direction and tradeoffs

 
WHAT YOU’LL BUILD:

  • A composable React widget framework for embeddable environments
  • Data-rich UI experiences (property profiles, owner views, interactive maps, lead workflows)
  • AI-powered frontend features integrated with LLMs for data exploration and user workflows
  • A reusable component library with strong UX, accessibility, and developer usability

 
KEY RESPONSIBILITIES:

  • Design and implement a scalable React + TypeScript widget framework
  • Build data-heavy UIs (tables, filters, maps, pagination, sorting)
  • Integrate REST and/or GraphQL APIs
  • Design for sandboxed embedding environments (iframes, CSP, host-guest communication)
  • Own architecture decisions and system design for frontend platform
  • Collaborate closely with leadership on scope, tradeoffs, and roadmap
  • Ensure performance, UX quality, and maintainability at scale

 
REQUIRED EXPERIENCE & SKILLS:

  • Strong experience with React + TypeScript at scale
  • Experience building data-heavy, complex frontend applications
  • Experience with embeddable or widget-based systems (or similar architecture work)
  • Experience with sandboxed iframe environments and CSP considerations
  • Strong understanding of API integration (REST and/or GraphQL)
  • Ability to operate in high-ownership, ambiguous, greenfield environments
  • Experience using modern frontend tooling (Tailwind, component libraries, etc.)
  • Strong communication and product thinking
     

EXPERIENCE REQUIREMENT:

  • Must have experience building and shipping applications serving thousands to millions of users, with the ability to clearly describe the product(s) worked on and specific technical contributions (e.g., architecture, features, performance, and impact at scale)

 
AGENTIC / AI-NATIVE REQUIREMENT:

  • Cursor (or similar tools) used as primary development environment
  • Experience using AI tools to meaningfully accelerate engineering output
  • Clear understanding of agent workflows, task decomposition, and review practices
  • Ability to combine human judgment with AI-driven development workflows


BONUS EXPERIENCE:

  • Embeddable / white-label widget systems
  • Mapbox, Leaflet, or Google Maps
  • Real estate / property tech platforms
  • Design systems or component library architecture
  • Experience transitioning teams into AI-first engineering workflows

 
We are an equal opportunity employer, and we are an organization that values diversity. We welcome applications from all qualified candidates, including minorities and persons with disabilities.
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