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Javascript Llm Jobs in Georgia (NOW HIRING)

TekCommands Inc

FSE Sr.AI Engineer

Atlanta, GA · On-site

$117K - $155K/yr

Design and build full stack web applications using React, JavaScript/TypeScript frameworks, and ... Familiarity with AI agent frameworks, LLM APIs (OpenAI, Anthropic, or similar), and prompt ...

NTT DATA, Inc.

AI Ops / DevOps Engineer

Atlanta, GA · On-site

$50.75 - $69.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Develop custom MCP servers using Python, TypeScript, Node.js, or JavaScript to expose logs, infrastructure metrics, deployment data, and internal tools to authorized AI agents. * Integrate LLM agents ...

NTT DATA Americas, Inc

AI Ops / DevOps Engineer

Sandy Springs, GA · On-site

$52.25 - $71.75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Develop custom MCP servers using Python, TypeScript, Node.js, or JavaScript to expose logs, infrastructure metrics, deployment data, and internal tools to authorized AI agents. * Integrate LLM agents ...

Newcomb & Boyd Llp

AEC AI Technology Architect

Atlanta, GA · On-site

$130.71 - $170/hr

OpenAI API], LLM orchestration frameworks [e.g. LangChain], and modern full stack web development ... Dynamo, Grasshopper], C#, JavaScript, and React for AEC application development.Backend development ...

LangChain

Deployed Engineer (Atlanta)

Atlanta, GA · On-site

... JavaScript and systems fundamentals • Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling • Are ...

LangChain

Deployed Engineer (Atlanta)

Atlanta, GA · On-site

... JavaScript and systems fundamentals • Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling • Are ...

LangChain

Deployed Engineer (Atlanta)

Atlanta, GA · On-site

... JavaScript and systems fundamentals • Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling • Are ...

LangChain

Deployed Engineer (Southeast)

Atlanta, GA · On-site

... JavaScript and systems fundamentals • Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling • Are ...

Lorven Technologies

Go & Python Developer

Atlanta, GA · On-site

$48.25 - $66.50/hr

... tooling) and JavaScript/TypeScript (tenant portal via Vite/React/Tailwind, k6 load tests ... GPU compute (NVIDIA CUDA/DCGM, vllm, llm-d, Intel Level-Zero/ driver stack and SR-IOV)

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Javascript Llm information

What is a JavaScript LLM?

JavaScript LLMs (Large Language Models) are advanced artificial intelligence models that understand and generate human language, and are designed to run within JavaScript environments, such as web browsers or Node.js. They enable developers to integrate powerful AI features like text generation, summarization, and conversational agents directly into web applications without relying on external servers. Recent innovations have made it possible to run smaller, optimized LLMs efficiently in-browser using JavaScript, allowing for privacy-preserving and responsive AI experiences.

How does a JavaScript LLM engineer typically collaborate with data scientists and product teams during model integration?

A JavaScript LLM engineer frequently works alongside data scientists to implement, fine-tune, and deploy large language models within web applications. Collaboration often involves translating model outputs into user-facing features, ensuring API integration is robust, and optimizing performance for web-based environments. Working closely with product teams, these engineers help define requirements, address user feedback, and iterate on features to ensure the LLM meets business goals and user needs. Open communication and regular cross-functional meetings are key to successful integration and continuous improvement.

What are the key skills and qualifications needed to thrive as a JavaScript LLM engineer, and why are they important?

To thrive as a JavaScript LLM Engineer, you need strong proficiency in JavaScript, a good understanding of machine learning principles, and experience with LLM integration, typically backed by a degree in computer science or a related field. Familiarity with relevant libraries (such as TensorFlow.js or Hugging Face Transformers), RESTful APIs, and cloud deployment platforms is essential. Problem-solving, adaptability, and effective communication are crucial soft skills in this role. These skills ensure the successful development, deployment, and maintenance of AI-powered applications that leverage LLMs for advanced functionality.

What is the difference between Javascript Llm vs Javascript Developer?

AspectJavascript LlmJavascript Developer
CredentialsTypically requires knowledge of machine learning, NLP, and AI frameworks, along with JavaScript skillsRequires proficiency in JavaScript, HTML, CSS, and possibly frameworks like React or Node.js
Work EnvironmentOften in AI/ML teams, research labs, or companies developing AI toolsIn web development teams, software firms, or freelance projects
Industry UsageUsed in AI-driven applications, chatbots, and NLP toolsUsed in website development, web app creation, and front-end/back-end development

Javascript Llm focuses on integrating JavaScript with machine learning models for AI applications, while Javascript Developer specializes in building web applications using JavaScript technologies. Both roles require JavaScript skills but serve different industry needs and environments.

What cities in Georgia are hiring for Javascript Llm jobs?

Cities in Georgia with the most Javascript Llm job openings:

Javascript Llm jobs near you

Cross-Platform Mobile Engineer (React Native & AI Integration) - Q126

R2 Technologies Corporation

Alpharetta, GA • On-site

Full-time

Re-posted 10 days ago

Job description

Overview:
Job Title: Cross-Platform Mobile Engineer (React Native & AI Integration)
Company: R2 Technologies
Location: Alpharetta, GA (Hybrid / Remote Options Available)
Employment Type: Full-Time / Contractual
About R2 Technologies: R2 Technologies is... (Same as above)
Job Summary: R2 Technologies is looking for a versatile React Native Engineer who bridges the gap between the massive JavaScript ecosystem and the fast-moving AI landscape. You will not only build cross-platform mobile applications for iOS and Android but also engineer the dynamic, conversational interfaces that interact with our enterprise AI agents. By treating AI coding assistants as your pair programmer, you will rapidly prototype, build, and deploy intelligent mobile experiences that connect directly to advanced LLM orchestration backends.
Key Responsibilities:
  • Build highly responsive, cross-platform mobile applications using modern React Native, TypeScript, and React Hooks.
  • Develop "AI-first" user interfaces, including real-time streaming chat UIs, voice-to-text inputs, and dynamic, agent-generated UI components.
  • Actively utilize AI-assisted coding tools (Cursor, GitHub Copilot) to rapidly write cross-platform boilerplate, resolve native module bridging issues, and optimize UI rendering.
  • Integrate enterprise backend APIs, Edge runtimes, and AI SDKs (like Vercel AI SDK or LangChain-compatible endpoints) directly into the mobile client.
  • Optimize React Native performance by minimizing JavaScript bridge bottlenecks, utilizing modern architectures (Fabric/Bridgeless), and profiling memory usage.
  • Collaborate with backend and Agentic AI Engineers to ensure the mobile app properly handles streaming LLM tokens and complex multi-step reasoning outputs.

Qualifications:
  • Up to 3 years of experience in cross-platform mobile development or full-stack JavaScript engineering.
  • Deep understanding of React Native, TypeScript, and state management (Zustand, Redux Toolkit).
  • Experience integrating RESTful/GraphQL APIs, WebSockets, and third-party AI endpoints.
  • Proven experience working heavily alongside AI coding assistants to enhance productivity and solve native-bridging complexities.

Solid understanding of mobile UI/UX principles and the ability to build fluid, conversational application flows.
Skills:
React Native,Mobile

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