Note: The job is a remote job and is open to candidates in USA. Fearless is hiring an AI Engineering Trainer to lead a 10-week workforce development program for experienced technical professionals. The trainer will deliver instruction and hands-on projects in AI-enabled software engineering and modernization, and coach and assess participants as they develop, test, and securely deploy AI solutions.

Responsibilities

• Deliver live, instructor-led technical training focused on AI engineering, agentic AI, and AI-enabled software development
• Lead hands-on labs, technical demonstrations, practical exercises, and collaborative projects that require participants to design, build, integrate, test, debug, and troubleshoot AI-enabled solutions
• Teach and reinforce practical application of Python, AI/LLM tools and frameworks, APIs, data engineering concepts, source control, testing, and modern software delivery practices
• Guide participants through AI-assisted engineering workflows, including code generation, testing, automation, debugging, and legacy application modernization
• Provide instruction and coaching on prompt engineering, Retrieval-Augmented Generation (RAG), AI orchestration patterns, and agentic AI concepts as applicable to the approved curriculum
• Reinforce secure AI integration, responsible AI practices, data governance, privacy, security, and risk mitigation throughout technical exercises and projects
• Provide real-time technical assistance during labs and project work, including troubleshooting, debugging, code review, and problem-solving support
• Review participant technical work and provide individualized feedback, coaching, and remediation to strengthen identified skill gaps
• Assess participant progress through labs, assignments, knowledge checks, technical demonstrations, and capstone activities
• Support team-based capstone work requiring participants to demonstrate an AI-enabled or agentic solution within a realistic enterprise modernization scenario
• Collaborate with program leadership and other instructors to monitor participant progress, identify areas requiring additional reinforcement, and maintain alignment with the approved training plan

Skills

• Minimum of 5 years of professional experience in AI/ML engineering, software engineering, data engineering, or a closely related technical discipline
• Demonstrated hands-on experience designing, developing, deploying, troubleshooting, optimizing, or maintaining AI and/or agentic AI solutions in production or comparable enterprise environments
• Demonstrated 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 and modern AI engineering patterns such as prompt engineering, RAG, AI orchestration, and/or agentic AI frameworks
• Ability to review participant code and technical artifacts, diagnose implementation challenges, and provide actionable technical feedback
• Experience teaching through hands-on labs, projects, demonstrations, and applied exercises rather than lecture-only instruction
• Strong communication skills with the ability to explain complex AI and software engineering concepts to learners with varying levels of technical experience
• Experience developing or deploying AI solutions within 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 team-based technical capstones, bootcamps, apprenticeships, or accelerated workforce development programs
• Familiarity with Learning Management Systems (LMS) and participant progress tracking

Benefits

• Fully remote 1099 contractor engagement.
• Contribute to work that creates meaningful impact.
• Collaborate with people who value curiosity, innovation, and continuous improvement.
• Bring your expertise to challenging and rewarding projects.
• Work with transparency, trust, and mutual respect.
• Help create solutions that improve the lives of the people who use them.
• Join a community committed to equity, inclusion, and belonging.
• Contribute to mission-driven work that delivers meaningful outcomes.
• Collaborate alongside experienced professionals across technology, delivery, design, and organizational development.
• Apply your expertise to impactful client engagements.
• Build relationships with a values-driven organization committed to excellence.
• Work with a team that values autonomy, accountability, and results.

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