AI Engineering Trainer

Location: Fully remote within the United States; 1099 contractor engagements are available to residents of all 50 states. Work is performed 40 hours per week for 10 weeks, from 9:00 a.m. to 5:00 p.m. EST. Occasional travel to client sites or company meetings may be required.

Company

hirify.global is a digital integration consultancy combining technology, people, and organizational development to deliver software and modernization solutions.

What you will do

• Deliver live, instructor-led training in AI engineering, agentic AI, and AI-enabled software development.
• Lead hands-on labs, demonstrations, applied exercises, collaborative projects, and team-based capstone work.
• Teach Python, AI and LLM tools, APIs, data integration, source control, testing, debugging, and modern software delivery practices.
• Guide learners through prompt engineering, Retrieval-Augmented Generation, AI orchestration, agentic AI, AI-assisted engineering, and legacy application modernization.
• Reinforce secure AI integration, responsible AI, data governance, privacy, security, and risk mitigation.
• Review technical work, troubleshoot implementations, provide individualized coaching, assess progress, and collaborate with program leadership and other instructors.

Requirements

• At least 5 years of professional experience in AI/ML engineering, software engineering, data engineering, or a closely related technical discipline.
• Hands-on experience designing, developing, deploying, troubleshooting, optimizing, or maintaining AI and/or agentic AI solutions in production or comparable enterprise environments.
• Experience delivering technical instruction, hands-on training, developer enablement, mentoring, coaching, or workforce development for adult technical learners.
• Strong working knowledge of Python and modern AI/LLM development tools, frameworks, and engineering workflows.
• Experience with AI-enabled application development, including APIs, data integration, testing, debugging, and secure software development practices.
• Experience with generative AI patterns including prompt engineering, RAG, AI orchestration, and/or agentic AI frameworks.
• Ability to review participant code and technical artifacts, diagnose implementation challenges, and provide actionable feedback.
• Experience teaching through hands-on labs, projects, demonstrations, and applied exercises rather than lecture-only instruction.
• Strong communication skills and the ability to explain complex AI and software engineering concepts to learners with varying technical experience.
• Ability to sit for extended periods, communicate effectively by phone, email, and in person, work within an office environment when required, and lift up to 10 pounds occasionally.

Nice to have

• Experience developing or deploying AI solutions in federal, financial, tax-processing, or similarly regulated enterprise environments.
• Experience applying AI-assisted engineering techniques to legacy application modernization.
• Experience with enterprise data platforms, cloud environments, CI/CD, DevSecOps, or secure AI deployment.
• Familiarity with Databricks, Pega, Salesforce, Palantir, or comparable enterprise platforms.
• Experience with AI governance, responsible AI, data governance, security, privacy, and compliance requirements.
• Experience supporting technical capstones, bootcamps, apprenticeships, or accelerated workforce development programs.
• Familiarity with Learning Management Systems and participant progress tracking.

Culture & Benefits

• Remote independent-contractor engagement with a mission-driven digital integration consultancy.
• Work with professionals across technology, delivery, design, and organizational development.
• Culture emphasizes curiosity, innovation, continuous improvement, transparency, trust, mutual respect, equity, inclusion, and belonging.
• Contractors are not eligible for employee compensation programs or benefits.
• Independent contractors must provide a completed W-9, proof of general liability insurance, a certificate of insurance, and any required project documentation.
• Project-specific background checks or security clearances may be required.

Hiring process

• Introductory conversation covering experience, project requirements, expectations, rate expectations, and engagement details.
• Role-specific skills assessment or work sample may be required.
• Skills and business-fit conversation; some engagements may also include customer interviews, background checks, or security-clearance verification.