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Ai Full Stack Jobs in California (NOW HIRING)

Nexusflow.ai, Inc.

Full-Stack Engineer

Palo Alto, CA · On-site

About Nexusflow.ai Modern enterprise copilots & agents call for last-mile quality, enterprise-grade ... Full-Stack Engineer Nexusflow is currently adding Full-Stack Engineers to our team. Our full-stack ...

Infinitus

AI Full Stack Engineer

San Francisco, CA · On-site

Contribute to both short- and long-term technical roadmaps, especially around AI-enabled product development, platform scalability, and full-stack architecture. Help shape how Eva responsibly applies ...

Noso Labs Inc.

Full Stack Engineer

San Francisco, CA · On-site

$180K/yr

Design and integrate LLMs and other AI models into our applications, including data collection ... Full-stack or AI projects and internships * Interest in HVAC, plumbing, or other field-service ...

SolGenie

Senior Full Stack AI Developer

San Jose, CA · On-site

Senior Full Stack AI Developer (React/Next.js + Python + LLM) Location: Santa Clara, CA (Onsite) Duration: 9+ Months Employment Type: W2 or Independent Contractor (No C2C through third-party vendors ...

Max AI, Inc.

Full-Stack Engineer

San Francisco, CA · On-site

$140K - $220K/yr

Max AI - Stripe for Healthcare Max AI is the World's first human-free, fully-autonomous medical ... Full Stack Engineer Responsibilities * Taking ownership of the entire product lifecycle-from ...

Max AI, Inc.

Full-Stack Engineer

San Francisco, CA · On-site

$140K - $220K/yr

Max AI - Stripe for Healthcare Max AI is the World's first human-free, fully-autonomous medical ... Full Stack Engineer Responsibilities * Taking ownership of the entire product lifecycle-from ...

ChipAgents

Full-Stack AI Engineer

San Jose, CA · On-site

$350K/yr

Position Overview We are looking for multiple Full-Stack AI Engineers with a strong Computer Science foundation to work closely with engineering teams at some of the world's leading chip companies.

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Full-Stack Engineer

Palo Alto, CA • On-site

Nexusflow.ai, Inc.
Software Development • 11 - 50 employees
Learn more about Nexusflow.ai, Inc.external

Full-time

Re-posted 5 days ago

Job description

About Nexusflow.ai

Modern enterprise copilots & agents call for last-mile quality, enterprise-grade robustness and scalable operation costs, beyond simplified programming interfaces for generative AI. Nexusflow tackles this challenge, enabling enterprises to own their workflow copilots & agents stacked on top of powerful yet cost-effective, compact LLMs. We train large language models and build last-mile quality dev tooling for copilots & agents on your enterprise workflows. Our team has built the open-source LLM, NexusRaven-V2, rivaling GPT-4 in function calling with a 100X smaller model size. Our team members are also behind the scenes of Starling, the #1 ranked compact 7B chat model based on human evaluation in Chatbot Arena.

Position: Full-Stack Engineer

Nexusflow is currently adding Full-Stack Engineers to our team. Our full-stack engineers are responsible for packaging up our technology in models and last-mile quality toolings as systems. Our full-stack engineers will be the driving force building our products and solutions in extensive collaboration with our ML engineers, designers & our customers.

  Responsibilities

  • Full-stack development in dev tooling and applications for GenAI copilots & agents

  • Spearheading the development and maintenance of high-quality web front-end using React.js

  • Contributing to the backend API system for cloud or on-prem deployment

  • Staying updated on emerging technologies and best practices in web development

  • Wearing many hats and collaborating with Nexusflow.ai's full team for product development, deployment and customer success

  Qualifications Required

  • 3+ years experience in full-stack web development

  • Frontend

    • Proficient in developing web applications using React.js, Next.js, TypeScript, and Tailwind CSS.

    • Experience with Next.js for server-side rendering and routing.

    • Strong understanding of HTML, CSS, and JavaScript.

    • Knowledge of state management libraries like Redux.

  • Backend

    • Experience with backend API system development & deployment on cloud (e.g. AWS).

  • Passion for application & platform systems involving ML models, data pipeline and applications.

Preferred

  • Work experience in fast-pace teams.

  • Experience in building ML applications or ML platforms.

  • Experience in projects involving LLMs.

Apply