Engr III Spec-full Stack

Verizon Verizon · Telecom · Hyderabad, India

Full-stack engineer with experience in designing, developing, and integrating Generative AI (Gen AI) solutions and Large Language Models (LLMs) into enterprise applications. The role involves building AI-driven features using modern frameworks like LangChain or LlamaIndex within a cloud-based full-stack environment, and integrating AI assistants with foundational models and external data sources/tools using Model Context Protocol (MCP).

What you'd actually do

  1. Proven experience designing, developing, and integrating Generative AI (Gen AI) solutions and Large Language Models (LLMs) into enterprise applications.
  2. Hands-on knowledge of Model Context Protocol (MCP) to build standardized integrations between AI assistants, foundational models, and external data sources/tools.
  3. Experience building AI-driven features using modern frameworks (e.g., LangChain, LlamaIndex, or OpenAI/Anthropic APIs) within a cloud-based full-stack environment.
  4. Design, develop, and maintain front-end applications using Angular.
  5. Build and optimize back-end services with Node.js.

Skills

Required

  • Angular
  • Node.js
  • SQL databases
  • AWS
  • RESTful APIs
  • microservices architecture
  • Generative AI (Gen AI) solutions
  • Large Language Models (LLMs)
  • Model Context Protocol (MCP)
  • LangChain
  • LlamaIndex
  • OpenAI/Anthropic APIs
  • full-stack development

Nice to have

  • DevOps
  • CI/CD pipelines
  • containerization (Docker/Kubernetes)
  • AWS Certification

What the JD emphasized

  • Generative AI (Gen AI) solutions
  • Large Language Models (LLMs)
  • AI assistants
  • foundational models
  • external data sources/tools
  • LangChain
  • LlamaIndex
  • OpenAI/Anthropic APIs
  • full-stack development

Other signals

  • Generative AI (Gen AI) solutions
  • Large Language Models (LLMs)
  • AI assistants
  • foundational models
  • external data sources/tools
  • LangChain
  • LlamaIndex
  • OpenAI/Anthropic APIs