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Javascript Llm Jobs (NOW HIRING)

Solid understanding of LLM architectures, embeddings, and retrieval-augmented generation (RAG). * Proficiency in Python, JavaScript/TypeScript , or similar programming languages. * Experience with ...

AI Full Stack Engineer

Plano, TX · On-site

$100K - $110K/yr

... LLM-based solutions into applications, including agent-based workflows and automation. • Work ... Required Skills: • Strong experience with React and JavaScript. • Backend development ...

AI Full Stack Engineer

Plano, TX · On-site

$95K - $105K/yr

... LLM-based solutions into applications, including agent-based workflows and automation. • Work ... Required Skills: • Strong experience with React and JavaScript. • Backend development ...

AI integrations ,LLM models (Dialog flow/ Google CES) * Cloud technologies Secondary skills/experience * API integration * Prompt engineering Javascript * CI/CD * Git * NodeJS

New

AI integrations ,LLM models (Dialog flow/ Google CES) * Cloud technologies Secondary skills/experience * API integration * Prompt engineering Javascript * CI/CD * Git * NodeJS

... and 40% is LLM / GenAI Validation (AI Testing) • Test automation experience is non-negotiable - manual-only profiles will not be considered. • Python, Java, JavaScript, or TypeScript for ...

Advanced proficiency in TypeScript or JavaScript, and UI frameworks like React. * UI Components ... LLM Architectures: Practical experience integrating LLM APIs, building RAG systems, and writing ...

Design and integrate RESTful APIs, GraphQL endpoints, and AI-assisted features including LLM ... Mentor junior engineers on modern JavaScript and AI-augmented development practices * Evaluate and ...

Design and integrate RESTful APIs, GraphQL endpoints, and AI-assisted features including LLM ... Mentor junior engineers on modern JavaScript and AI-augmented development practices * Evaluate and ...

Proficiency in Python and/or JavaScript/TypeScript * Experience building and deploying AI agents or LLM-driven applications in production environments * Strong understanding of LLM concepts, prompt ...

The application is a working prototype built with Python/FastAPI and JavaScript that supports multiple LLM providers (Anthropic Claude, OpenAI, Google Gemini, and local models via Ollama ...

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How much do javascript llm jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for javascript llm in the United States is $64.90, according to ZipRecruiter salary data. Most workers in this role earn between $63.70 and $66.11 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a JavaScript LLM (Large Language Model) 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.

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 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 are JavaScript LLMs?

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.
What cities are hiring for Javascript Llm jobs? Cities with the most Javascript Llm job openings:
What are the most commonly searched types of Javascript Llm jobs? The most popular types of Javascript Llm jobs are:
What states have the most Javascript Llm jobs? States with the most job openings for Javascript Llm jobs include:
ONLY W2 | AI Engineer@ Denver, Co

ONLY W2 | AI Engineer@ Denver, Co

Palnar

Denver, CO • On-site

Full-time

Re-posted 20 days ago


Job description

Job Summary,
  • We are looking for highly skilled AI Engineers with expertise in Large Language Models (LLMs) and hands-on experience with advanced AI platforms such as Gemini 2.5, GitHub Copilot, Glean, and other generative AI tools. The ideal candidate will be able to design, develop, and deploy AI-powered solutions that enhance productivity, accelerate workflows, and drive innovation.

Required Skills & Experience
  • Proven hands-on experience with Gemini 2.5, GitHub Copilot, Glean, or similar LLM-based tools.
  • Solid understanding of LLM architectures, embeddings, and retrieval-augmented generation (RAG).
  • Proficiency in Python, JavaScript/TypeScript, or similar programming languages.
  • Experience with cloud platforms (AWS, Azure, GCP) and AI/ML deployments.
  • Familiarity with Vector Databases (Pinecone, Weaviate, FAISS, Milvus, etc.).
  • Knowledge of ML pipelines, APIs, and prompt engineering.
Excellent problem-solving, communication, and collaboration skills.