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Remote Ai Agent Jobs in Bothell, WA (NOW HIRING)

AI agent-driven development is no longer experimental here - it's how we work. We're setting the ... Remote-first culture, with offices in Seattle and Paris Docker embraces diversity and equal ...

Intern - ML Engineering

Seattle, WA ยท On-site +1

$25 - $45/hr

In this Hybrid or remote role, you may get an opportunity to contribute to the development ... Familiarity with the AI Agent development Pay range and compensation package US Pay range for this ...

At Pinterest, AI isn\'t just a feature, it\'s a powerful partner that augments our creativity and ... remote agents, how MCP (Model Context Protocol) works, what Agent Skills and Hooks are for, and how ...

Senior AI Engineer

Redmond, WA ยท On-site +1

$117K - $160K/yr

Seattle / Palo Alto / Remote Centific'sPhysical AI team is building next-generation AI systems at ... Support experimentation with LLMs, VLMs, world models, agent frameworks, tool-using agents, and ...

Senior Backend Engineer - AI Platform

Seattle, WA ยท On-site +1

$139K - $183K/yr

This is a remote position; however, the candidate must reside within 30 miles of one of the ... Implement and scale multi-agent architectures to support complex, distributed use cases across ...

This is a remote position; however, the candidate must reside within 30 miles of one of the ... Implement and scale multi-agent architectures to support complex, distributed use cases across ...

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Remote Ai Agent information

How do Remote AI Agents typically collaborate with cross-functional teams while working from different locations?

Remote AI Agents often work closely with data scientists, software engineers, and product managers through digital collaboration tools such as Slack, Zoom, and project management platforms like Jira or Asana. Effective communication and clear documentation are essential, as team members may be in different time zones. Regular virtual meetings and asynchronous updates help ensure alignment on project goals and tasks. Building strong remote relationships and proactively sharing progress or challenges are key to successful collaboration in this role.

What are the key skills and qualifications needed to thrive as a Remote AI Agent, and why are they important?

To thrive as a Remote AI Agent, you need a solid understanding of artificial intelligence concepts, problem-solving abilities, and typically a background in computer science or a related field. Familiarity with AI platforms, chatbot frameworks, and workflow automation tools is often required, along with experience using communication and ticketing systems. Strong written communication, adaptability, and self-motivation are crucial soft skills for excelling in a remote environment. These competencies ensure effective support, continuous learning, and high-quality interactions with clients or users in a technology-driven context.

What are remote AI agents?

Remote AI agents are software programs or systems that utilize artificial intelligence to perform tasks or provide services from a remote location, often via the internet or cloud platforms. These agents can automate processes, analyze data, interact with users, or manage digital operations without the need for physical presence. Remote AI agents are commonly used in customer service, virtual assistance, technical support, and more, helping businesses improve efficiency and scalability. Their remote nature allows them to operate 24/7 and integrate seamlessly with various digital platforms.

What is the difference between Remote Ai Agent vs Customer Support Specialist?

AspectRemote Ai AgentCustomer Support Specialist
Required CredentialsBasic technical knowledge, AI tools familiarityCustomer service skills, communication skills
Work EnvironmentRemote, AI-driven platformsRemote or on-site, customer interaction
Employer & Industry UsageTech companies, AI service providersRetail, telecom, service industries
Common Search & ComparisonAI automation, virtual assistanceCustomer service roles, support jobs

The main difference between a Remote Ai Agent and a Customer Support Specialist lies in their focus and tools. Remote Ai Agents primarily work with AI-driven platforms to assist or automate customer interactions, requiring some technical knowledge. Customer Support Specialists handle direct customer interactions, emphasizing communication skills. Both roles are often remote but serve different functions within customer service and tech industries.

What are the most commonly searched types of Ai Agent jobs in Bothell, WA? The most popular types of Ai Agent jobs in Bothell, WA are:
What are popular job titles related to Remote Ai Agent jobs in Bothell, WA? For Remote Ai Agent jobs in Bothell, WA, the most frequently searched job titles are:
What cities near Bothell, WA are hiring for Remote Ai Agent jobs? Cities near Bothell, WA with the most Remote Ai Agent job openings:

Net Full stack Consultant: Remote Role

Qualis1 Inc

Seattle, WA โ€ข Remote

Contractor

Posted 24 days ago


Job description

Role:ย .Net Full stack Consultant

Location: Seattle, WA, Remote

Duration: 6+ months

Scope and Key Responsibilities

  • Test Automation Agent Development: Build agents for test case generation, test data creation (MCP framework), and script generation; integrate with UI, API, and workflow testing tools.
  • Test Workflow Development: Develop plugins to expose test orchestration actions to Copilot and AI Workbench for completing specific test workflows; implement RBAC, telemetry, and audit logging.
  • AI Agent / Test Workflow Deployment: Deploy agents to code and AI repositories, such as Copilot Studio, Azure AI Foundry, and AI Workbench as appropriate.
  • Integrate AI test agents with Azure DevOps for test plan retrieval, test status, and test result update.
  • Maintenance and Support: Provide ongoing support, troubleshooting, and iterative improvements for deployed agents to ensure reliability and adaptability to evolving requirements.
  • Documentation and Knowledge Transfer: Create comprehensive technical documentation and conduct knowledge transfer sessions to enable internal teams to operate and enhance the developed solutions.
  • Security and Compliance: Ensure all implemented solutions adhere to xxxxxโ€™s security, privacy, and compliance standards, including secure handling of test data, audit trails, and responsible AI.