AI Platform Engineer

Verizon

. Evaluate, fine-tune, optimize, and deploy open-source models, LLMs, and foundational models .

Posted 10/2/2026full-timeUnited StatesMid-LevelSenior💰 $101,000 - $194,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI/ML software engineering, with a focus on developing and deploying open-source models, LLMs, and agentic workflows. Proficient in integrating AI tools into developer workflows and optimizing cloud infrastructure for enhanced productivity.

Highest-signal resume keywords

AI/ML Software EngineeringMCP Server DevelopmentIDE Extension DevelopmentOpen-Source Model Fine-TuningCloud Infrastructure Deployment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI/ML Software EngineeringMCP Server DevelopmentOpen-Source Model Fine-TuningRAG Pipeline ImplementationVector Database ExperiencePrompt DesignContext EngineeringEvaluation Metrics ImplementationMonitoring and TracingMulti-Agent Frameworks

Tools & Technologies

Google Cloud PlatformVertex AIGKEBigQueryCloud RunGitHub CopilotCursorDevin AIVS Code ExtensionsDeveloper Workflow Automation

Industry Keywords

Agentic WorkflowsSDLC AutomationCompliance GovernanceSafety FilteringPolicy Enforcement

Tech Stack

Tools & technologies

BigQueryCloudGoogle Cloud PlatformSDLC

About the role

Key responsibilities & impact

Evaluate, fine-tune, optimize, and deploy open-source models, LLMs, and foundational models
Build agentic workflows and multi-agent architectures to automate developer and SDLC tasks
Design, build, and deploy Model Context Protocol servers and tools
Connect external APIs, internal enterprise tools, and data sources with AI coding agents
Apply prompt design, context engineering, dynamic context injection, and hallucination mitigation strategies
Evaluate, test, and integrate AI developer tools and IDE extensions into developer workflows
Conduct rapid research and experimentation on emerging GenAI tools, preview features, and frameworks
Design, build, and deploy AI solutions, agentic workflows, and MCP servers to improve developer productivity across Verizon

Requirements

What you’ll need

Bachelor’s degree or four or more years of work experience
Four or more years of relevant experience, demonstrated through work and/or military experience or specialized training
Experience in AI/ML software engineering, with deep proficiency in developing specialized frameworks
Experience building MCP servers, tools, and integrations connecting LLM agents to internal systems
Knowledge of IDE extension development, such as VS Code extensions, and developer workflow automation within modern SDLC pipelines
Experience with developer AI tools such as GitHub Copilot, Cursor, and Devin AI
Experience implementing evaluation metrics, monitoring, and tracing using tools
Experience with open-source models, LLMs, and fine-tuning techniques
Experience implementing RAG pipelines, vector databases, and multi-agent frameworks such as LangChain and LangGraph
Knowledge of safety filtering, policy enforcement, and compliance governance for LLM deployments
Experience designing and deploying scalable cloud infrastructure on Google Cloud Platform, utilizing Vertex AI, GKE, BigQuery, and Cloud Run
Active contributions to open-source agentic frameworks, MCP servers, or developer tooling ecosystems are advantageous

Benefits

Comp & perks

Medical, dental, and vision benefits
Short- and long-term disability insurance
Basic life insurance
Supplemental life insurance
AD&D insurance
Identity theft protection
Pet insurance
Group home and auto insurance
Matched 401(k) savings plan
Up to 8 company-paid holidays per year
Up to 6 personal days per year
Paid parental leave
Adoption assistance
Tuition assistance
Other incentives
Potential premium pay such as overtime, shift differential, holiday pay, and allowances
Up to 15 days of vacation per year for newly hired employees, increasing with additional service