Technical Trainer (AI)

Location: Fort Worth, TX; hybrid with 3 days in the office

Company

hirify.global is hiring for a contract technical training role supporting learning across a large enterprise environment.

What you will do

• Design and deliver instructor-led, hands-on curricula covering software engineering, Agile, DevOps, cloud, CI/CD, testing, system design, and AI-assisted development.
• Facilitate coding exercises, technical demonstrations, practical labs, simulations, collaborative problem-solving, and learner assessments.
• Teach responsible generative AI and agentic AI practices, including privacy, security, bias awareness, secure data handling, output validation, human oversight, orchestration, tool use, memory, and approval controls.
• Develop and maintain curricula, labs, code samples, assessments, diagrams, exercises, and digital learning content.
• Coach learners on debugging, concurrency, performance, resiliency, reliability, maintainability, distributed systems, and high-volume enterprise applications.
• Manage learning paths and training records, track outcomes, partner with engineering leaders and subject-matter experts, and improve training using performance data and feedback.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related discipline; equivalent education and experience may be considered.
• 6+ years of relevant software engineering or technical delivery experience in an Agile environment, including 5+ years creating and delivering technical training.
• Hands-on experience with software engineering, TDD, CI/CD, and Agile methods such as Scrum, Kanban, or Extreme Programming.
• Experience using generative AI and AI coding assistants in software development or DevOps workflows, plus practical experience building or supporting AI agents and tool-enabled LLM workflows.
• Strong understanding of responsible AI, secure data handling, AI-generated code risks, agent orchestration, tool calling, structured outputs, context management, and human-in-the-loop controls.
• Experience testing nondeterministic systems, diagnosing agent and AI workflow failures, developing AI-assisted software engineering labs, and explaining complex technical concepts through practical instruction.
• Experience or familiarity with RAG, embeddings, vector databases, grounding, LLM APIs, model evaluation, AI governance, and agent frameworks such as Semantic Kernel, AutoGen, or LangGraph.
• Experience integrating AI agents with applications, APIs, CI/CD pipelines, cloud services, observability platforms, and enterprise knowledge sources; familiarity with MCP, agent-to-agent communication, and multi-agent orchestration.
• Knowledge of agent security practices, including prompt-injection defenses, permission boundaries, data-loss prevention, sandboxing, audit trails, CI/CD pipelines, the Testing Pyramid, concurrency debugging, performance profiling, and optimization.

Nice to have

• Equivalent education and experience in place of the stated bachelor’s degree.
• Experience with agent frameworks equivalent to Semantic Kernel, AutoGen, or LangGraph.

Culture & Benefits

• Contract engagement with potential extension.
• Hybrid work arrangement with 3 required office days per week in Fort Worth, Texas.
• Work within a large and diverse enterprise environment and collaborate with engineering leaders and subject-matter experts.