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Javascript Llm Jobs in California (NOW HIRING)

Senior Software Engineer

Sunnyvale, CA · On-site +1

$143K - $189K/yr

Strong proficiency in JavaScript/TypeScript and React for building user-facing applications * Hands ... Backend Integration of LLM Architectures : Lead the development and maintenance of the backend ...

Full Stack Engineer

San Francisco, CA · On-site

$120 - $200/hr

Implement LLM-powered features across multiple modalities: text, image, video, audio * Collaborate ... Proven experience working with TypeScript/JavaScript, React, Python web development, API ...

New

Hands‑on experience building with LLM orchestration frameworks (LangChain, LlamaIndex, or similar ... Experience with Node, JavaScript, CI/CD, Docker * A track record of shipping production systems ...

Senior AI Engineer

South San Francisco, CA · On-site

$125K - $172K/yr

The ideal candidate will have strong experience working with Python, LLM solution patterns and ... Strong coding skills with proficiency in Python and Javascript Experience with API frameworks both ...

Sr. Engineer, AI Platforms

San Diego, CA · On-site

$130K - $171K/yr

Develop and integrate LLM-powered features into enterprise applications, improving user ... NET, Python, JavaScript, TypeScript, React.js, Angular, Node.js, HTML, and CSS * Experience ...

... 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 ...

Spearhead the evaluation, selection, and deep integration of frontier LLM ecosystems (e.g., Llama ... Proficiency in core languages such as C++, Python, Java, JavaScript, etc. * Cross‑Functional ...

New

Integrate LLM providers (OpenAI, Anthropic, etc.) for query generation, orchestration, and result ... JavaScript, including strong server-side and API design skills. * Strong SQL and data warehouse ...

New

Showing results 41-60

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 are the most commonly searched types of Javascript Llm jobs in California?

The most popular types of Javascript Llm jobs in California are:

What cities in California are hiring for Javascript Llm jobs?

Cities in California with the most Javascript Llm job openings:

Senior Software Engineer

PA Early Stage Partners

Sunnyvale, CA • On-site, Remote

$143K - $189K/yr

Full-time

Posted 19 days ago


Job description

Who are we?
Mission

Altimate AI, founded in 2022 in San Francisco, is revolutionizing enterprise data operations through the power of AI. Our mission is to alleviate the burden on overworked and understaffed enterprise data teams by providing innovative AI-driven solutions that automate and accelerate a wide range of data tasks. Our flagship product, DataPilot, offers advanced data automation capabilities, while our new DataMates technology brings the concept of agentic AI to data operations, acting as virtual teammates for data professionals. Our solutions seamlessly fit into existing tools like VSCode, Git, and Slack, performing tasks ranging from data documentation to performance optimization. By leveraging a proprietary framework that combines multiple language models and a custom-built knowledge graph, we enable contextually aware AI agents that integrate seamlessly into existing workflows. Our solutions, including ambient AI for continuous monitoring and optimization, are designed to meet the growing demands of data operations, business intelligence, and analytics in an era of ever-increasing data volumes. Used by thousands of users across the world, and backed by prominent investors , we're positioned at the forefront of the AI-powered data engineering revolution. You can read more about us in a recently published venture beat article.

Team

As a team, we are Silicon Valley veterans who previously created category-defining data and AI products loved by thousands of companies worldwide. We have experienced the journey of a small startup to IPO very closely. We have started on a similar journey again and are backed by prominent advisors and VC firms with multi-billion dollar portfolios.

What are we looking for?

We’re in search of a Full Stack Engineer who thrives on innovation and creative problem-solving across both server-side and client-side technologies. This role is ideal for someone excited to design, build, and maintain the backbone of our AI solutions while also creating intuitive, dynamic user experiences. You’ll be pivotal in enhancing our AI capabilities by developing high-performance back-end systems and integrating advanced AI into daily data workflows. Simultaneously, you’ll craft impactful front-end interfaces, from our React-based SaaS platform to our VSCode extension—offering data professionals a seamless, AI-driven developer experience.

Qualifications:

  • 3+ years of experience building Python-based web application backends (e.g., Flask, FastAPI, Django) and the infrastructure on which they run

  • 5+ years of experience designing and developing scalable back-end systems, APIs, and microservices

  • Strong proficiency in JavaScript/TypeScript and React for building user-facing applications

  • Hands-on expertise in front-end tooling and libraries (Webpack, Babel, Redux, etc.), with a focus on responsive design, usability, and performance optimization

  • (Desirable) Working knowledge of static code analysis of SQL

  • (Desirable) Experience developing and extending VSCode extensions in JavaScript/TypeScript

  • (Desirable) Familiarity with AI and machine learning concepts

  • (Desirable) Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes)

  • (Desirable) Involvement in open-source projects

Why you should join Altimate AI

Projects You'll Work On:

  • Backend Integration of LLM Architectures: Lead the development and maintenance of the backend infrastructure that powers state-of-the-art Large Language Model (LLM) architectures, including RAG, ReAct, and Agent-based systems. Architect data pipelines for processing extensive datasets and devise AI-powered endpoints crucial for our SaaS application and VSCode Extension.

  • Front-End Development for DataPilot

    Build and enhance intuitive, user-friendly interfaces in React for our browser-based SaaS platform. Ensure seamless interactions with our AI backend and deliver an exceptional user experience to thousands of data professionals worldwide.

  • VSCode Extension

    Develop and maintain our VSCode extension (JavaScript/TypeScript) to bring AI-driven functionalities directly into developers’ IDE workflow. Focus on smooth integration, performance, and developer experience.

  • Graph-Based Data Structure Design: Design and develop large-scale graph-based data structures that effectively model complex data stores. Create intricate, efficient structures that can be fed to our AI applications as context, ensuring both scalability and performance.

Impact:

  • Innovation at the Forefront: Push the boundaries of software engineering by combining traditional techniques with cutting-edge AI technologies.

  • High Visibility & Impact: Directly affect the productivity and capabilities of global data teams, as your contributions will be crucial to the daily operations of thousands of users spread across 100s of countries.

  • Open Source Contribution: As part of our commitment to the developer community, you will contribute to our open-source initiatives, gaining recognition in the tech community.

  • Career Growth: This role is a launchpad into the rapidly advancing field of AI, offering exposure to state-of-the-art technologies and generative AI applications.

What We Offer

  • Competitive salary and equity

    • Base Salary Range: $130,000 - $180,000 [influenced by your expertise, where you live, how the interview goes, and how well you match the role]

    • Equity: 0.0% - 0.2%

  • Extensive professional development opportunities and resources for continuous learning

  • Dynamic and intellectually stimulating work environment with a team of talented engineers

  • Opportunities to shape the direction of the company and leave a lasting impact

How to Apply

If this sounds like the perfect role for you, we can't wait to meet you! Apply now and let's build something amazing together.