AI Immersive Coach / Senior Software Engineer - AI Coach

SPEAR STAFFING LLC
Dallas, TX, United States
18 days ago
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Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) JavaScript (Programming Language) Artificial Intelligence Application Integration Architecture Github Python (Programming Language) Systems Development Life Cycle Microsoft Copilot Software Engineering TypeScript JetBrains Claude Code
+2 more
Prompt Engineering Agentic-AI

Job description

Introduction: This position is for an AI Immersive Coach who will also serve as a Senior Software Engineer specializing in AI coaching. The role involves coaching developers on AI-assisted coding and SDLC best practices, conducting live demos, workshops, and technical presentations, driving adoption of enterprise AI development tools, demonstrating productivity and software-quality improvements, and supporting AI integrations within engineering teams., * Coach developers on AI-assisted coding and SDLC best practices.

  • Conduct live demos, workshops, and technical presentations.
  • Drive adoption of enterprise AI development tools.
  • Demonstrate productivity and software-quality improvements.
  • Support AI integrations, troubleshoot workflows, and advise engineering teams.

Requirements

  • 5+ years of software engineering experience.
  • 2+ years of hands-on Agentic AI experience in a professional/enterprise environment.
  • Hands-on experience with at least one AI coding tool (Copilot, Claude Code, Codex, or Devin).
  • Excellent communication, public speaking, presentation, and developer coaching skills.
  • Must demonstrate a personally built project from scratch using an IDE configured with an AI coding tool.
  • Must explain the project architecture, AI integration, workflow, and technical implementation during a live interview.
  • Passion for AI tools, recent releases, and emerging development practices.

Preferred Skills:

  • Artificial Intelligence
  • GitHub
  • Java
  • Coaching
  • Python
  • Presentations
  • Quality Assurance
  • Software Development Methodology
  • Scratch
  • Software Engineering
  • JetBrains
  • IDE
  • JavaScript
  • Workflow
  • Prompt Engineering
  • TypeScript

Interview Process:

  • Round 1: 45-minute interview covering engineering experience, Agentic AI, tools, and communication.
  • Round 2: Technical interview with a live IDE/project demonstration.

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