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Javascript Llm Jobs (NOW HIRING)

LLM Applications Engineer

New York, NY · On-site

$130K - $175K/yr

As an LLM Applications Engineer, you will be the architect of our LLM infrastructure. You won't ... Proficiency in Python and JavaScript/TypeScript: Ability to work across the AI backend and the ...

Industry certifications such as Java/Python/JavaScript, LLM, or Machine Learning, are preferred. * Expertise in troubleshooting and problem-solving across diverse IT systems and environments.

Industry certifications such as Java/Python/JavaScript, LLM, or Machine Learning, are preferred. * Expertise in troubleshooting and problem-solving across diverse IT systems and environments.

Become go-to experts on building voice AI solutions, especially LLM prompting tips & tricks. * Build full-stack integrations (Python, JavaScript) with enterprise tools (e.g. CRMs, ERPs, scheduling ...

Become go-to experts on building voice AI solutions, especially LLM prompting tips & tricks. * Build full-stack integrations (Python, JavaScript) with enterprise tools (e.g. CRMs, ERPs, scheduling ...

Become go-to experts on building voice AI solutions, especially LLM prompting tips & tricks. * Build full-stack integrations (Python, JavaScript) with enterprise tools (e.g. CRMs, ERPs, scheduling ...

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Javascript Llm information

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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:
LLM Applications Engineer

LLM Applications Engineer

Uncountable

New York, NY • On-site

$130K - $175K/yr

Full-time

Medical, Dental, Retirement

Re-posted 5 days ago


Job description

Thank you for your interest in Uncountable Engineering!
Description
Uncountable is seeking experienced engineers to lead the transformation of our platform into an AI-first R&D ecosystem. We are building the next generation of tools that empower scientists at Fortune 500 companies to accelerate discovery through Generative AI.
As an LLM Applications Engineer, you will be the architect of our LLM infrastructure. You won't just be building interfaces; you will be designing the retrieval systems, agentic workflows, and data pipelines that bridge the gap between complex experimental data and actionable AI insights. Your work will directly modernize how the world's leading researchers interact with their data.
Primary Responsibility
Your primary responsibility is to design, build, and scale the LLM infrastructure and user-facing AI features of the Uncountable Web Platform. This is a hybrid role requiring a deep understanding of full-stack development and the unique challenges of deploying LLMs in production.
  • Infrastructure: Implement and optimize RAG (Retrieval-Augmented Generation) pipelines, vector databases, and prompt management systems.
  • Feature Development: Build intuitive, AI-driven UI components that allow scientists to query, analyze, and visualize complex experimental datasets.
  • Integration: Connect LLM capabilities with our core SQL databases and data analysis engines to ensure high-fidelity, grounded AI responses.

Salary Range: $130K-$175K + Equity
Requirements
  • 2+ years of software development experience with a focus on full-stack web applications.
  • Proven experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, or Haystack).
  • Proficiency in Python and JavaScript/TypeScript: Ability to work across the AI backend and the React frontend.
  • Solid Engineering Fundamentals: Experience with API design, asynchronous processing, and performance optimization.

Preferred Qualifications
  • B.S. in Computer Science or a related technical field.
  • Experience with LLM Evaluation: Knowledge of how to measure and mitigate "hallucinations" in a scientific/technical context.
  • Familiarity with SQL: Specifically optimizing queries that serve as the context for LLM prompts.
  • Product Mindset: A passion for creating "LLM-first" user experiences that feel seamless rather than bolted-on.

Our Current Stack
  • Backend: Flask (Python), Postgres
  • Frontend: React (Typescript), Redux, Sass

Benefits
  • Competitive Salary and Equity
  • Health and Dental Insurance
  • 401K with Employer Contribution

What's next? Learn more about Interviewing at Uncountable
Learn more about our engineering team: Check out our blog