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Remote Excess Telecom Agent Jobs (NOW HIRING)

MCI Careers

Temporary Hurricane Contact Center Agent

FL · Remote

$14.10 - $16.25/hr

Remote Work-at-Home MCI is one of the fastest-growing tech-enabled business services companies in ... telecom, technology e-commerce, and financial services. Our contact centers are powered by both on ...

MCI Careers

$21 - $23/hr

... telecom, technology e-commerce, and financial services ... Our contact centers are powered by both on-site and remote agents, leveraging advanced technologies ...

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$26.5K

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How much do remote excess telecom agent jobs pay per year?

As of Sep 6, 2026, the average yearly pay for remote excess telecom agent in the United States is $64,822.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,000.00 and $81,500.00 per year, depending on experience, location, and employer.
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Remote Excess Telecom Agent jobs near you
Infographic showing various Remote Excess Telecom Agent job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $64,822 per year, or $31.2 per hour.

AI Engineer (Python | Agentic AI | Vertex AI)

3B Staffing LLC

Austin, TX • On-site, Remote

Contractor

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: AI Engineer (Python | Agentic AI | Vertex AI)
Location: Fully Remote (USA)
Duration: 6+ Months Contract

Python, LLM/Agentic AI, Google Vertex AI (or LangGraph/Bedrock), REST APIs, CLI scripting, pytest, structured logging, AI workflow orchestration, and telecom/RF domain experience preferred.
Job Description

We are seeking an experienced AI Engineer to join a high-impact AI transformation initiative for a leading telecommunications organization. In this role, you will build and enhance agentic AI systems that automate RF tower design and optimization workflows using modern LLM technologies. You will work on scalable AI agents, workflow orchestration, and production-grade Python applications while collaborating with cross-functional engineering teams.
Responsibilities

  • Design, develop, and enhance AI agent workflows using Python and modern LLM frameworks.
  • Extend and maintain existing AI agent codebases without creating redundant services.
  • Build AI-driven automation for RF engineering workflows and design optimization.
  • Develop and maintain APIs, CLI integrations, and workflow orchestration.
  • Write unit, integration, and regression tests using pytest.
  • Implement structured logging, monitoring, and debugging for AI workflows.
  • Collaborate with engineering, product, and telecom domain experts throughout the SDLC.
  • Support pilot deployments, production rollouts, and post-production monitoring.
  • Optimize AI agent performance, scalability, and reliability.

Required Skills

  • 4-7+ years of hands-on Python development experience.
  • At least 1 year of production experience with LLMs, Agentic AI, or Generative AI applications.
  • Experience with Google Vertex AI or similar frameworks such as LangGraph, Agent Builder, Bedrock Agents, or comparable AI orchestration platforms.
  • Strong knowledge of REST APIs, CLI tools, scripting, and automation.
  • Experience working with distributed systems and AI workflow orchestration.
  • Strong debugging, structured logging, and testing experience.
  • Experience with pytest, unit testing, integration testing, and regression testing.
  • Excellent problem-solving and communication skills.

Preferred Skills

  • Experience contributing to MCP servers or extending existing AI platforms.
  • Knowledge of RF engineering, telecommunications, LTE, 5G NR, or wireless network technologies.
  • Familiarity with AI evaluation frameworks and production deployment best practices.
  • Experience working in Agile/Scrum environments.

Nice to Have

  • Experience with LangChain, LangGraph, OpenAI APIs, Vertex AI, or Bedrock.
  • Cloud experience with GCP or AWS.
  • Background in telecom infrastructure or network optimization.

Apply