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Senior AI Engineer

Computer Enterprises, Inc.United States🇺🇸United States

Quick overview

Salary$95/hr
SeniorityMid Senior
Work modeRemote
LocationUnited States
GCPBashGoogle CloudPythonKubernetesPrompt Engineering

Job description

Full Stack Developer – Python & AI Agents
Job at a Glance

  • Title: Full Stack Developer – Python & AI Agents
  • Location: 100% Remote (EST Hours)
  • Contract: W2 only, 6 month contract
  • Pay: $95.00+/hour + optional medical, dental, vision, 401(k) match
Overview
Seeking a Full Stack Developer to build and support full stack Python applications and AI agent workflows in a modern Google Cloud environment. This role focuses on reliable automation, prompt engineering and testing to improve agent behavior, and hands-on deployment and production troubleshooting.
Key Responsibilities
  • Develop and maintain full stack Python applications, supporting end-to-end feature delivery across front end and back end components.
  • Build AI agent workflows using Google ADK, including mechanisms to track execution and verify task completion.
  • Implement safeguards for failure handling, bounded retries, and prevention of repeated loops in agent behavior.
  • Create and maintain Bash scripts to support automation, pipelines, and repeatable operational tasks.
  • Adapt agent instructions for cloud-based execution through prompt engineering and iterative testing.
  • Deploy and support services on Google Cloud Run and/or Kubernetes in Google Cloud Platform (GCP).
  • Troubleshoot production issues in Python applications and agent workflows; identify root causes and validate fixes.

Required Skills
  • Full stack Python application development experience (front end + back end ownership).
  • Experience building AI agents or automated workflows using Google ADK.
  • Strong understanding of task completion verification, failure handling, retry logic, and loop control in agent workflows.
  • Bash scripting experience for build, deployment, and operational automation.
  • Prompt engineering experience, including testing and iterating on prompts to improve reliability.
  • Hands-on deployment experience with Google Cloud Run and/or Kubernetes on GCP.
  • Proven ability to troubleshoot and resolve production issues in Python applications and AI/agent workflows.

Education
  • Bachelor's Degree Required

Preferred Skills
  • Experience defining structured execution policies and acceptance checks for agent outputs.
  • Experience converting development guidance into testable prompts and operational runbooks.
  • Familiarity with cloud-based agent instruction frameworks (e.g., Cursor skills/instructions) and adapting them for production use.

About CEI:
As a trusted technology partner, CEI delivers solutions that help our customers transform their business and achieve meaningful results. From strategy and custom application development through application management - our technology and digital experience services are tailored to meet each unique need of our customers. Our staffing solutions bring specialized skills to complement our customers' workforce and project requirements.
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