2

Remote Embedded Ai Jobs in Kentucky (NOW HIRING)

$101K - $139K/yr

Remote / Hybrid Seniority: Mid-Level / Senior (Individual Contributor) Role Overview LumiMeds is a ... embedded into patient and provider flows. * Virtual Care Interfaces: Implementing WebRTC video ...

... embedded in sprints * Experience with AI governance processes, including AI use case tracking ... This compensation range is specific to a remote role and takes into account the wide range of ...

... embedded in sprints * Experience with AI governance processes, including AI use case tracking ... This compensation range is specific to a remote role and takes into account the wide range of ...

... embedded in sprints * Experience with AI governance processes, including AI use case tracking ... This compensation range is specific to a remote role and takes into account the wide range of ...

Workday Absence & HCM Senior Analyst

Louisville, KY · Remote

$87K - $110K/yr

That's why we continuously invest in innovative ideas, such as AI-enabled insights and technology ... Responsible for configuring business processes including notifications, condition rules, embedded ...

Workday Absence & HCM Senior Analyst

Lexington, KY · Remote

$89K - $114K/yr

That's why we continuously invest in innovative ideas, such as AI-enabled insights and technology ... Responsible for configuring business processes including notifications, condition rules, embedded ...

Remote Embedded Ai information

What is a remote embedded AI engineer?

A Remote Embedded AI engineer is a professional who develops and integrates artificial intelligence (AI) algorithms into embedded systems, such as IoT devices, sensors, or smart appliances, while working from a remote location. Their role involves optimizing AI models to run efficiently on hardware with limited resources, ensuring reliable performance and low power consumption. These engineers typically collaborate with cross-functional teams to deliver intelligent, connected products, leveraging skills in machine learning, software development, and embedded hardware. Working remotely allows them to contribute to global projects without being tied to a specific office location.

What is the difference between Remote Embedded Ai vs Remote Machine Learning Engineer?

AspectRemote Embedded AiRemote Machine Learning Engineer
Required CredentialsBachelor's or higher in Computer Science, Electrical Engineering, or related fields; experience with embedded systemsBachelor's or higher in Computer Science, Data Science, or related fields; strong programming and statistical skills
Work EnvironmentEmbedded hardware, IoT devices, real-time systemsCloud platforms, data centers, software development environments
Industry UsageConsumer electronics, automotive, industrial IoTTech companies, finance, healthcare, research
Common Search/ComparisonYesNo

Remote Embedded Ai professionals focus on developing AI algorithms for embedded hardware and real-time systems, often working with IoT devices and specialized hardware. In contrast, Remote Machine Learning Engineers primarily develop models in cloud environments for data analysis and prediction. While both roles require strong programming skills, Embedded Ai emphasizes hardware integration, whereas Machine Learning Engineers focus on scalable model deployment.

What are some common challenges faced by remote embedded AI engineers, and how can they be overcome?

Remote Embedded AI Engineers often encounter challenges such as limited access to hardware for testing, asynchronous communication with distributed teams, and integrating AI models within resource-constrained embedded systems. Overcoming these challenges involves utilizing remote debugging tools, setting up robust simulation environments, and maintaining clear, regular communication with team members. Collaboration platforms and thorough documentation help ensure smooth coordination, while staying updated on best practices in embedded AI can address technical limitations.

What are the key skills and qualifications needed to thrive as a remote embedded AI engineer?

To thrive as a Remote Embedded AI Engineer, you need expertise in embedded systems, machine learning algorithms, and programming languages like C/C++, Python, or TensorFlow Lite, often supported by a degree in computer engineering or related fields. Familiarity with real-time operating systems (RTOS), edge AI development platforms, and version control tools such as Git is typically required. Strong problem-solving skills, effective remote communication, and self-motivation help you excel in collaborative yet independent work environments. These competencies are crucial for building efficient, innovative AI solutions on hardware platforms while ensuring seamless teamwork across distributed teams.
What are the most commonly searched types of Embedded Ai jobs in Kentucky? The most popular types of Embedded Ai jobs in Kentucky are:
What are popular job titles related to Remote Embedded Ai jobs in Kentucky? For Remote Embedded Ai jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Remote Embedded Ai jobs in Kentucky look for? The top searched job categories for Remote Embedded Ai jobs in Kentucky are:
What cities in Kentucky are hiring for Remote Embedded Ai jobs? Cities in Kentucky with the most Remote Embedded Ai job openings:

Senior Frontend Engineer (Next.js & React, AI-Native) - Remote

Lumimeds

Remote

$101K - $139K/yr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Platform & Product Engineering - LumiMeds
Location: Remote / Hybrid
Seniority: Mid-Level / Senior (Individual Contributor)
 
Role Overview

LumiMeds is a high-growth telehealth platform building the next generation of virtual telehealth infrastructure. We are looking for an AI-First Frontend Engineer who builds beautiful, performant, and clinically reliable interfaces -and uses AI to do it at a pace that consistently surprises people.

You are not a designer who codes, nor a utility developer who ships components on request. You are an engineer who can translate a Figma frame into a pixel-perfect, highly performant Next.js experience, architect the state model behind it, and use AI tooling to compress a week of work into a day. You know how to direct Claude agent teams to handle parallelizable work - generating component variants, writing test suites, auditing accessibility - so you can stay focused on the decisions that require human judgment. You will balance 90% hands-on coding with 10% mentorship, and you are expected to set the bar for frontend quality and velocity on the team.


Core Technical Domains

You will own the user-facing layer across our consumer and clinical platforms:

  • Performant Marketing & E-commerce: Engineering lightning-fast, SEO-optimized storefronts and landing pages. You treat Core Web Vitals as a first-class deliverable.
  • Clinical Web Application (EMR & Provider Portal): Building the "Clinical OS" - complex, state-heavy interfaces where data integrity and reliability are non-negotiable.
  • AI-Powered UI Features: Implementing streaming LLM responses, real-time clinical summaries, and conversational interfaces embedded into patient and provider flows.
  • Virtual Care Interfaces: Implementing WebRTC video components, real-time secure messaging, and low-latency async consultation flows.
  • Design System & Motion: Maintaining a component library using Framer Motion to produce purposeful animations that make the platform feel premium and intuitive.

Key Responsibilities
  • AI-Augmented Frontend Development: Use Cursor, Copilot, and LLMs as first-class tools to generate components, write tests, and iterate on UI logic at high velocity. Prompt quality is part of the craft.
  • Claude Agent Team Orchestration: Coordinate Claude agent teams via the Claude Agent SDK to execute parallelizable frontend work - generating component variants, writing test suites, auditing accessibility, and producing design-to-code translations at scale. You know how to structure agent prompts, verify outputs, and integrate agent-generated code into the production codebase reliably.
  • Aesthetic Engineering: Translate high-fidelity Figma designs into pixel-perfect, responsive experiences that hold visual integrity across all device sizes and breakpoints.
  • Performance Ownership: Own Core Web Vitals - optimize LCP, INP, and bundle size. Understand hydration, streaming SSR, and caching strategies at a deep level.
  • AI UI Integration: Build and maintain frontend interfaces that consume LLM outputs - streaming text, structured responses, tool-call results - in ways that feel fluid and reliable to end users.
  • State Architecture: Design resilient client-side state capable of handling real-time clinical data, optimistic updates, and complex form flows across the patient journey.
  • Compliance & Security: Ensure all interfaces meet HIPAA/SOC2 standards, with a focus on secure data handling, audit trails, and PII protection.

Required Hard Skills & Tech Stack
  • Next.js Mastery: Expert-level knowledge of the App Router, Server Components (RSC), and sophisticated caching/streaming strategies.
  • The "Beautiful Web" Stack: Expert proficiency in Tailwind CSS and Framer Motion for fluid, high-end interfaces.
  • Performance Optimization: Proven track record optimizing bundle sizes, hydration cycles, and Lighthouse scores.
  • State Management: Expertise in TanStack Query (server state) and Zustand (client state).
  • LLM UI Patterns: Experience building streaming response UIs, chat interfaces, or AI-assisted input flows using OpenAI or Anthropic APIs.
  • Claude Agent Teams: Hands-on experience building and directing Claude agent teams using the Claude Agent SDK - from bulk component generation to automated visual regression and test coverage. You can design an agent pipeline, define subagent roles, and validate the output before it lands in production.
  • AI Dev Tooling: Daily active use of Cursor, GitHub Copilot, or equivalent. Strong opinions on how to use AI for component generation, refactoring, and test writing.
  • Browser Fundamentals: Deep understanding of the DOM, rendering pipeline, and HIPAA-compliant data handling in the browser.

Candidate Qualifications
  • 3+ years of professional frontend engineering experience.
  • AI-Native Workflow: You can demonstrate concretely how AI has accelerated your frontend output. Examples or portfolio required.
  • The Dual-Threat Portfolio: Proven experience building both visually polished, high-traffic marketing sites and complex, data-driven SaaS applications.
  • Uncompromising Eye for Detail: You notice when spacing is off by 2px and care enough to fix it. Typography, micro-interactions, and motion are part of your craft.
  • High Agency: Ability to self-direct, operate in ambiguity, and make high-leverage frontend decisions without constant supervision.
  • Communication: Professional proficiency in English for technical documentation and cross-functional collaboration.

Why Join LumiMeds?

  • AI as Infrastructure: We don't bolt AI on - it's embedded in how we build. You'll be encouraged and expected to use every tool available to ship faster and better.
  • Design-Forward Culture: We believe healthcare should be beautiful. You'll have the technical freedom to build a premium brand experience without compromise.
  • Direct Impact: Fast, intuitive, and beautiful interfaces directly affect patient outcomes and provider efficiency.