AI Platform Engineer: Agentic AI & LLM Tooling

Verizon; Alpharetta (GA); Hybrid; USD 101,000 - 194,000; Full time

Job summary

Verizon is seeking a highly skilled AI Engineer to evaluate, fine-tune, and deploy open-source models, LLMs, and foundational models, building agentic workflows that empower developers across the enterprise. You will connect external APIs and internal sources with AI coding agents and design MCP servers within the SDLC.

This hybrid role requires a strong background in AI/ML software engineering, MCP servers, and integration of tools like GitHub Copilot, Cursor, Devin AI, and VS Code extensions

Qualifications

• Bachelor's degree or four or more years of work experience.
• Four or more years of relevant AI/ML software engineering experience.
• Experience building MCP servers, tools, and integrations connecting LLM agents to internal systems.
• Knowledge of IDE extension development and developer workflow automation within modern SDLC pipelines.
• Experience with developer AI tools like GitHub Copilot, Cursor, and Devin AI.

Responsibilities

• Design, build, and deploy MCP servers and tools to connect external APIs and internal data sources with AI agents.
• Develop and fine-tune agentic workflows and multi-agent architectures.
• Apply advanced prompt design, context injection, and hallucination mitigation strategies.
• Evaluate, test, and integrate AI developer tools and IDE extensions into the workflow.
• Evaluate, fine-tune, and deploy open-source models and LLMs for enterprise needs.

Skills

AI/ML software engineering

MCP servers

IDE extension development

Developer tooling

Education

Bachelor's degree or 4+ years experience

Tools

GitHub Copilot

Cursor

Devin AI

VS Code extensions

Job description

Verizon is seeking a highly skilled AI Engineer to evaluate, fine-tune, and deploy open-source models, LLMs, and foundational models, building agentic workflows that empower developers across the enterprise. You will connect external APIs and internal sources with AI coding agents and design MCP servers within the SDLC.

This hybrid role requires a strong background in AI/ML software engineering, MCP servers, and integration of tools like GitHub Copilot, Cursor, Devin AI, and VS Code extensions