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Remote Volunteer Node Js Developer Jobs in California

Senior Software Engineer

Oakland, CA · On-site +1

$140K - $185K/yr

Must be currently located in the US (We are a 100% remote/volunteer-from-home project) Not required, but nice to have. * An academic degree or work experience in CS/Comp Engineering. What You'll Gain ...

.Net Developer/Angular Developer

Irvine, CA · On-site +1

$57.82 - $60.54/hr

.Net Developer/Angular Developer Full-time Irvine, CA Exclusive confidential search -- details ... This role is primarily onsite (strong preference for onsite at the Alton location) but remote or ...

AI Engineer

San Francisco, CA · On-site +1

$150K - $200K/yr

Experience building and integrating APIs (REST) in Node.js. * Hands-on experience using AI-powered IDE tools such as Cursor. * Experience properly using LLMs in different parts of a greater system.

Software Engineer, eve

San Francisco, CA · On-site +1

$208K - $312K/yr

As the team behind Next.js, v0, and AI SDK, we create products that help builders move from idea to ... developer experience. Now, software is entering a new era, and the next generation of products will ...

Showing results 41-60

Remote Volunteer Node Js Developer information

How to become a remote volunteer Node Js developer?

To become a remote volunteer Node.js developer, gain proficiency in JavaScript and Node.js through online courses and practice projects. Build a portfolio of open-source contributions or personal projects, and seek opportunities on volunteer platforms or developer communities that match your skills and availability.

Are remote volunteer Node Js developers in demand?

Remote volunteer Node Js developers are in moderate demand, especially for open-source projects and non-profit organizations that seek technical support. While paid opportunities are competitive, volunteer roles often require strong skills in JavaScript, Node.js, and related tools, and can provide valuable experience and networking opportunities.
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Senior AI & Business Operations Engineer

Faraday Future

El Segundo, CA • Remote

$111K - $152K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 12 days ago


Job description

The Company:

Faraday Future (FF) is a California-based mobility company, leveraging the latest technologies and world's best talent to realize exciting new possibilities in mobility. We're producing user-centric, technology-first vehicles to establish new paradigms in human-vehicle interaction. We're not just seeking to change how our cars work - we're seeking to change the way we drive. At FF, we're creating something new, something connected, and something with a true global impact.

Your Role:

As Senior AI & Business Operations Engineer, you will be responsible for building an enterprise-grade AI Agent platform that elevates large model capabilities from an "information generation tool" to "executable business productivity," driving AI to play a deep role in the company's core business processes and operational decision-making. You will lead the design and implementation of an enterprise-level Agent system similar to OpenClaw, connecting AI models, enterprise data, and business systems to deliver an end-to-end closed loop: task understanding data retrieval decision generation automated execution. The platform will serve sales and commercial systems and gradually expand to enterprise operations and management scenarios.

Responsibilities:

  • AI Agent Platform Development: Design and implement an enterprise-grade AI Agent platform (Agent Runtime) supporting task understanding, planning, multi-step execution, and state management (memory). Build a unified Tools Layer that encapsulates enterprise APIs, data services, and operational capabilities, enabling Agents to securely invoke CRM, ERP, data platforms, and other systems. Design multi-Agent and multi-step collaboration mechanisms to support automated execution of complex business workflows.
  • Workflow Automation & Orchestration: Based on OpenClaw or similar frameworks, build cross-system task orchestration capabilities to achieve a closed loop from AI-driven insights to business execution. Design secure and controllable execution mechanisms including approval nodes, human-in-the-loop collaboration, and rollback strategies. Drive AI automation in business processes such as customer follow-up, task generation, data updates, and process triggering.
  • AI Enablement for Sales & Commercial Systems: Build AI Copilot and Agent capabilities to support sales operations, lead management, and customer engagement. Integrate with CRM, CPQ, order management, and customer service systems to achieve deep fusion of AI and business processes.
  • AI Enablement for Enterprise Strategy & Operations: Collaborate with management and operational teams to identify AI application scenarios in revenue growth, conversion optimization, customer operations, cost control, and risk management. Build a Decision Copilot for leadership to support data-driven decision-making. Connect data platforms and AI systems to enable the flow: Data Insights Decisions Execution (via Agent automation). Establish a quantitative evaluation system linking AI outcomes to business KPIs such as revenue, conversion rates, and efficiency gains.
  • RAG & Enterprise Knowledge System: Build an enterprise-grade Retrieval-Augmented Generation (RAG) system integrating knowledge bases, business data, and real-time information. Support permission-aware retrieval, citation tracing, result explanation, and temporal sensitivity controls. Optimize embeddings, indexing strategies, reranking, and caching mechanisms to improve accuracy and performance.
  • Security, Governance & Production Systems: Design security and governance mechanisms for AI systems, including execution tiering (read-only / low-risk / high-risk operations). Build a comprehensive audit and compliance framework to make AI behavior traceable and explainable. Establish a production-grade evaluation system (offline + online), A/B testing, and continuous optimization processes.
  • Observability & Platform Engineering: Build AI system observability capabilities including logging, tracing, and metrics. Monitor model calls, tool execution paths, latency, and costs. Drive platform engineering efforts to standardize and scale AI capabilities across the organization.
  • Technical Leadership: As a Staff Engineer, lead system architecture design and key technical decisions. Drive AI capabilities from PoC to organization-wide scaled deployment. Guide engineering teams on best practices in Agent development, automation, and AI applications. Bridge technology and business to advance the AI strategy.

Basic Qualifications:

  • Bachelor's degree or above in Computer Science or a related field.
  • 7+ years of software engineering experience, including 2-3 years of experience with AI/LLM/Agent systems.
  • Strong backend engineering skills with proficiency in Python (core), or Java / Node.js.
  • Hands-on experience building AI Agent / automated execution systems (tool calling, multi-step tasks, workflows).
  • Familiarity with RAG, vector databases, retrieval, and reranking mechanisms.
  • Experience with API design, system integration, and distributed architecture.
  • Cloud-native experience with AWS/GCP, Docker, and Kubernetes.
  • Familiarity with OAuth2/OIDC, access control, and security-by-design principles.
  • Ability to translate business problems into AI solutions.
  • Strong cross-functional communication and influence skills.

Preferred Qualifications:

  • Experience with OpenClaw or similar Agent / automated execution frameworks.
  • Experience building enterprise-grade AI platforms or internal tooling platforms.
  • Experience with CRM, ERP, RevOps, or commercial systems.
  • Experience combining AI with data platforms or BI systems.
  • Familiarity with multi-Agent collaboration and complex workflow orchestration.
  • Proven track record of using AI to drive measurable improvements in business KPIs.
  • Experience leading enterprise AI transformation or scaling AI deployments.
  • Experience with IT / infrastructure automation (API / SSH / network devices).

Annual Salary Range:

($130K-$150K DOE) plus benefits and incentive plans

 Perks + Benefits

  • Healthcare + dental + vision benefits (Free for you/discounted for family)
  • 401(k) options
  • Casual dress code + relaxed work environment

Faraday Future is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.