Senior Frontier Engineer

Cynet Systems•Phoenix, AZ

About The Position

The Senior Frontier Engineer uses generative AI tools, including Devin, Claude, Codex, and GitHub Copilot, to implement changes across Azure, AWS, or GCP platforms. The role develops and enhances API and UI components using Java, Spring Boot, and Angular in cloud-native environments, and designs cloud-native solutions, CI/CD DevOps pipelines, and database architecture. The engineer architects enterprise-scale agent deployments on leading AI platforms and establishes trust layers and cross-agent governance frameworks to support responsible AI adoption. Working as a polyglot engineer, the role collaborates across development, QA, cloud engineering, and database engineering workstreams to deliver project pilots.

Requirements

  • 8+ years of professional software engineering experience.
  • 5+ years of experience as a Frontier Engineer with expertise using GenAI tools such as Devin, Claude, Codex, and GitHub Copilot or similar.
  • Polyglot development expertise in Angular, React, Node.js, Java, Spring Boot, and Python.
  • Strong API development experience.
  • Expertise in Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG) at scale, grounding strategies, knowledge graphs, and ontology engineering.

Nice To Haves

  • Experience with CI/CD and DevOps practices in cloud-native environments.
  • Database engineering experience.
  • Familiarity with migrating applications between Azure, AWS, and GCP platforms.
  • Experience applying GenAI tools to development and testing activities.

Responsibilities

  • Use GenAI tools such as Devin, Claude, Codex, and GitHub Copilot to implement changes across Azure, AWS, or GCP platforms.
  • Develop and enhance API and UI components using Java, Spring Boot, and Angular across cloud-native environments.
  • Design and build cloud-native solutions, CI/CD DevOps pipelines, and database architecture.
  • Architect enterprise-scale agent deployments on leading AI platforms.
  • Establish trust layers and cross-agent governance frameworks to enable responsible AI adoption.
  • Collaborate across development, QA, cloud engineering, and database engineering workstreams to deliver project pilots.
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