layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

LAYIQ - AI Platform Engineer at Verizon

MCP Server & Tool Development: Design, build, and deploy Model Context Protocol (MCP) servers and tools to connect external APIs, internal enterprise tools, and data sources with AI coding agents.
Agentic Workflows: Develop and fine-tune agentic workflows and multi-agent architectures (using frameworks such as LangGraph or LangChain) to automate developer and SDLC tasks.
Prompt & Context Engineering: Apply advanced prompt design, context engineering, dynamic context injection, and hallucination mitigation strategies to maximize efficiency and accuracy.
Developer Tool Evaluation & Integration: Evaluate, test, and integrate AI developer tools (GitHub Copilot, Cursor, Devin AI, etc.) and IDE extensions (e.g., VS Code extensions) into the developer workflow.
Open-Source & LLM Optimization: Evaluate, fine-tune, optimize, and deploy open-source models and foundational LLMs tailored to enterprise needs and developer tools.
Rapid Prototyping & Research: Conduct fast-paced research and experimentation on emerging GenAI tools, preview features, and frameworks to keep our internal tools ahead of industry standards.
What we’re looking for...
You get excited by the possibilities that technology creates and how it can improve people’s lives. Applying your analytical skills and expertise to solve complex problems is personally rewarding. No stranger to working in a fast-paced environment, you convey a sense of urgency and balance multiple opposing priorities with ease, never missing a deadline.
You’ll need to have: Bachelor’s degree or four or more years of work experience. ·
Four or more years of of relevant experience required, demonstrated through one or a combination of 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 (e.g., VS Code extensions) and developer workflow automation within modern SDLC pipelines.
Experience with developer AI tools like GitHub Copilot, Cursor, and Devin AI.
Even better if you have one or more of the following: 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 (LangChain, LangGraph).
Knowledge of safety filtering, policy enforcement, and compliance governance for LLM deployments .
Experience designing and deploying scalable cloud infrastructure on Google Cloud Platform (GCP), utilizing key AI/ML services like Vertex AI, GKE, BigQuery, and Cloud Run .
Active contributions to open-source agentic frameworks, MCP servers, or developer tooling ecosystems .
If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above.

AI Platform Engineer

Employer job description

Key responsibilities include:

Benefits and Compensation

Equal opportunity and accommodations

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