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Javascript Llm Jobs in Atlanta, GA (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 ...

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)

Omnissa

Software Engineer, AI/ML

Atlanta, GA · On-site +1

$102K - $160K/yr

Integrate LLM endpoints (Azure OpenAI, AWS, or equivalent) with enterprise systems using MCP and ... JavaScript frameworks * Experience with embedding models, vector databases, and semantic search ...

Omnissa

Software Engineer, AI/ML

Atlanta, GA · On-site

$102K - $160K/yr

Integrate LLM endpoints (Azure OpenAI, AWS, or equivalent) with enterprise systems using MCP and ... JavaScript frameworks * Experience with embedding models, vector databases, and semantic search ...

Espire Infolabs

Be Seen First

Full-Stack Engineer - Agentic AI, Java & React

Alpharetta, GA · On-site

$75 - $90/hr

... LLM platform remain open. Key Responsibilities * Develop scalable backend services using Java and Spring Boot. * Build responsive user interfaces using React and JavaScript/TypeScript. * Design ...

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All JobsJavascript Llm JobsJavascript Llm Jobs in Atlanta, GA

Javascript Llm information

See Atlanta, GA salary details

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How much do javascript llm jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for javascript llm in Atlanta, GA is $62.41, according to ZipRecruiter salary data. Most workers in this role earn between $61.25 and $63.56 per hour, depending on experience, location, and employer.

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.

Javascript Llm jobs near you

Automation QA Engineer with AI/LLM_Alpharetta, GA- Onsite- Only Locals

American IT Systems

Alpharetta, GA • On-site

Other

Posted 2 days ago

New

Job description

Automation QA Engineer with AI/LLM

Alpharetta, GA- Only Locals

6+ Months

Experience: 10+ years


Tech Stack: Python/JavaScript, Test Automation, Pytest/Selenium, LLM Evaluation, Jira/Test Management

Job Description:

  • Design and execute test cases for multi-turn agent conversations.
  • Build evaluation frameworks to assess LLM quality.
  • Automate API and UI testing.
  • Create regression suites for agentic outputs.
  • Drive test coverage and quality metrics.
  • Develop automated testing frameworks using Python/JavaScript, Pytest, Selenium, or similar technologies.
  • Validate AI/LLM responses and agent behavior against defined quality criteria.
  • Track defects and test results using Jira or other test-management tools.

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