About: Simplilearn
Simplilearn is the world’s #1 online Bootcamp provider, enabling learners around the globe with rigorous and highly specialized training offered in partnership with world-renowned universities and leading corporations. We focus on emerging technologies and skills, such as data science, cloud computing, programming, and more — that are transforming the global economy. Our training is hands-on and immersive, including live virtual classes, integrated labs and projects, 24x7 support, and a collaborative learning environment. Over two million professionals and 2000 corporate training organizations across 150 countries have harnessed our award-winning programs to achieve their career and business goals.
Simplilearn has collaborated with Full stack Academy to leverage its widespread footprint in the US region and partnerships with Top US universities to grow internationally
We are seeking experienced Generative AI Trainers to deliver live online training sessions covering modern generative models, LLMs, LangChain, RAG, and prompt engineering with hands-on demos and projects.
Benefits
Compensation:
Part-Time Instructors are hourly, non-exempt employees. As such they will be compensated for all time worked. Part-time Instructors can expect to work approximately 8-10 hours per week and should not exceed expected hours without manager approval.
The expected compensation for this role for candidates is $50 per hour for candidates who fulfill the qualifications for the role.
Design and implement production-ready AI agents, prompt-based solutions, and automated workflows for customer-service and payment processes, using Python and Azure Databricks while evaluating quality and reliability.
Build and deploy AI systems, including multi-agent workflows and LLM-powered applications, while integrating models into cloud services and developing prompt strategies for client projects.
Build and deploy production generative AI systems for enterprise customers, combining hands-on workflow discovery, process redesign, rigorous evaluation, and end-to-end engineering to deliver measurable business outcomes.
Designs and implements generative AI solutions for customer environments, taking LLM, RAG, and agent-based systems from prototypes to scalable production integrations across cloud platforms and business processes.
Desenvolve e mantém aplicações mobile escaláveis e de alta performance com Flutter, integrando serviços de IA generativa, agentes e soluções RAG, além de contribuir para arquitetura, APIs e pipelines de CI/CD.
