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Wireless Engineer Remote Jobs in California (NOW HIRING)

YO AI Labs

AI/ML Engineer - Remote

San Jose, CA · Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while ...

YO AI Labs

AI/ML Engineer - Remote

Los Angeles, CA · Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while ...

YO AI Labs

AI/ML Engineer - Remote

Palo Alto, CA · Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while ...

YO AI Labs

AI/ML Engineer - Remote

San Francisco, CA · Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while ...

Innowhyte Inc

We are hiring an AI Engineer specializing in LLMs (Large Language Models), Retrieval Augmented Generation ( RAG ), and Generative AI. The role involves building advanced AI solutions that leverage ...

Sbdinc

Field Engineer

San Francisco, CA · Remote

$74K - $95K/yr

Field Sales Engineer - Remote Northern California - Up to 60% travel required Come build something that matters. It takes great people to achieve greatness. People with a sense of purpose and ...

Sbdinc

Field Engineer

San Jose, CA · Remote

$74K - $95K/yr

Field Sales Engineer - Remote Northern California - Up to 60% travel required Come build something that matters. It takes great people to achieve greatness. People with a sense of purpose and ...

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Wireless Engineer Remote information

What does a wireless engineer do when working remotely?

A Wireless Engineer working remotely is responsible for designing, implementing, and maintaining wireless communication networks such as Wi-Fi, cellular, or RF systems. Their tasks often include configuring network hardware, optimizing network performance, troubleshooting connectivity issues, and ensuring network security from a remote location. They use specialized software tools to monitor networks, conduct remote diagnostics, and collaborate with onsite teams to resolve technical problems. Remote wireless engineers also stay updated on new wireless technologies to recommend and implement upgrades. Strong communication skills and self-motivation are essential for coordinating with team members and clients remotely.

How does a wireless engineer collaborate with on-site teams and manage network issues without being physically present when working remotely?

As a remote Wireless Engineer, you’ll rely heavily on communication tools and remote access software to collaborate with on-site IT staff and troubleshoot network issues. Regular video meetings, shared documentation, and ticketing systems help ensure alignment with team goals and timely resolution of problems. You may also use remote monitoring tools to analyze network performance, diagnose faults, and guide on-site technicians through hardware adjustments. While you won’t be physically present, strong communication skills and familiarity with a variety of diagnostic platforms are essential for effective remote teamwork.

What are the key skills and qualifications needed to thrive as a wireless engineer remote, and why are they important?

To thrive as a Wireless Engineer (Remote), you need a solid background in wireless networking, RF engineering, and network design, usually supported by a relevant degree and industry certifications like CWNA or Cisco Wireless certifications. Familiarity with tools such as spectrum analyzers, network management systems, and wireless LAN controllers is typically required. Strong problem-solving skills, attention to detail, and effective remote communication are essential soft skills for success in this role. These competencies ensure reliable wireless network performance, efficient troubleshooting, and seamless collaboration with distributed teams.

What is the difference between Wireless Engineer Remote vs Wireless Network Technician?

AspectWireless Engineer RemoteWireless Network Technician
CredentialsBachelor's in Engineering or related field, certifications like CWNA or CCNAAssociate's degree or technical certification, such as CompTIA Network+
Work EnvironmentRemote, often project-based, involving design and planningOn-site or fieldwork, troubleshooting, installation, and maintenance
Industry UsageTelecommunications, wireless service providers, enterprise networksWireless service providers, network installation companies, enterprise IT

Wireless Engineer Remote roles focus on designing and planning wireless networks remotely, requiring advanced certifications and engineering knowledge. Wireless Network Technicians typically perform on-site installation and troubleshooting, with more technical and hands-on responsibilities. Both roles are essential in the wireless industry but differ mainly in work environment and scope.

What are the most commonly searched types of Wireless Engineer jobs in California?

The most popular types of Wireless Engineer jobs in California are:

What are popular job titles related to Wireless Engineer Remote jobs in California?

For Wireless Engineer Remote jobs in California, the most frequently searched job titles are:

What job categories do people searching Wireless Engineer Remote jobs in California look for?

The top searched job categories for Wireless Engineer Remote jobs in California are:

What cities in California are hiring for Wireless Engineer Remote jobs?

Cities in California with the most Wireless Engineer Remote job openings:

Wireless Engineer Remote jobs near you
Infographic showing various Wireless Engineer Remote job openings in California as of August 2026, with employment types broken down into 78% Full Time, 13% Part Time, and 9% Contract. Highlights an 100% Remote job distribution.

AI/ML Engineer - Remote

YO AI Labs

San Jose, CA • Remote

$200 - $350/hr

Full-time

Posted 9 days ago

Job description

AI/ML Engineer

Job Type: Full-Time
Location: Remote

Job Summary

We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while contributing to proprietary AI infrastructure. You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications.

Key Responsibilities
  • Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering.
  • Develop and orchestrate multi-agent systems using LangGraph and LangChain.
  • Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Build robust ETL and data pipelines, metadata catalogs, and ontologies for AI training and inference.
  • Develop and maintain REST APIs and SDK integrations.
  • Collaborate with product, security, and engineering teams to deliver secure, scalable solutions.
  • Follow modern secure coding, DevOps, and CI/CD practices.
  • Document technical decisions and communicate complex concepts effectively to technical and non-technical stakeholders.
Required Skills & Qualifications
  • Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations.
  • Hands-on production experience with LLMs, RAG, and prompt engineering.
  • Experience with multi-agent orchestration, tool use, LangGraph, and LangChain.
  • Strong knowledge of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Experience building data pipelines, ETL processes, metadata catalogs, and ontologies.
  • Strong understanding of secure coding and CI/CD practices.
  • Excellent written and verbal communication skills.
Preferred Qualifications
  • Experience with enterprise AI platforms such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
  • Knowledge of MCP, metadata catalog platforms, and advanced API development.
  • Experience working in government, regulated, or security-sensitive cloud environments.
  • Familiarity with relevant compliance and security standards.