Note: The job is a remote job and is open to candidates in USA. Fearless is a digital integration consultancy that combines technology, people, and organizational development to solve meaningful problems. The AI Engineering Trainer will lead a 10-week workforce development program for experienced technical professionals through live instruction, hands-on labs, demonstrations, collaborative projects, and coaching focused on AI-enabled software engineering and modernization. The trainer will teach AI engineering, agentic AI, Python, secure software delivery, responsible AI, and related enterprise modernization practices.
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
Company Overview