About Smart Working At Smart Working we believe your job should not only look right on paper but also feel right every day This isnt just another remote opportunity its about finding where you truly belong no matter where you are From day one youre welcomed into a genuine community that values your growth and wellbeing Our mission is simple to break down geographic barriers and connect skilled professionals with outstanding global teams and products for fulltime longterm roles We help you discover meaningful work with teams that invest in your success where youre empowered to grow personally and professionally Join one of the highestrated workplaces on Glassdoor and experience what it means to thrive in a truly remotefirst world About the Role As a Technical AI Trainer you will design and deliver practical handson AI training that enables software engineers to apply AI effectively across development QA and DevOps You will own and continuously evolve the training curriculum ensuring it remains current as AI tools coding assistants MCP servers and automation capabilities rapidly evolve You will work alongside other trainers and curriculum contributors while independently delivering training reviewing submitted work and providing practical feedback This is an internal enablement role focused on AIassisted software delivery and is not a client delivery presales or clientfacing consulting position The role requires broad handson software engineering knowledge across the full SDLC rather than deep expertise in a single specialism Responsibilities Design and deliver handson AI training across Development QA and DevOps Own and continuously evolve the training curriculum to ensure it remains up to date Review trainees submitted code and exercises providing direct practical feedback Stay handson with emerging AI tools including coding assistants MCP servers and AIdriven CI CD automation Deliver practical training in AIassisted software delivery including coding test automation code review and CI CD Apply broad handson knowledge across the full software development lifecycle rather than a frontend or backend specialism Work collaboratively with other trainers and curriculum contributors while independently designing and delivering training Requirements 69 years of handson software engineering experience across the full SDLC including Development QA and DevOps 2 years of daily handson use of AI coding tools such as Claude Code GitHub Copilot or equivalent AI IDEs 1 year of handson experience with AIassisted test automation such as Playwright with AI test generation 1 year of handson AIassisted code review experience 3 years of CI CD pipeline configuration experience including 612 months of AI MCPdriven CI CD automation knowledge 2 years of coaching mentoring or delivering technical training or workshops Strong communication skills with the ability to explain technical concepts to audiences with varying levels of experience A patient coaching mindset suited to supporting nonexpert and mixedskill audiences Curiosity and selfmotivation to stay current with emerging AI tools Demonstrable handson delivery experience with AI tools rather than purely conceptual or theoretical knowledge Strong generalist expertise spanning Development QA DevOps and the full software development lifecycle Nice to Have 612 months of handson experience with MCP servers such as GitHub MCP Server and agentbased workflow automation or solid AI fundamentals with the ability to ramp up quickly 1 year of curriculum or training content development experience or the ability to rapidly develop this capability through strong selfdirected learning 1 year of experience reviewing or assessing code or technical exercises submitted by others 2 years of DevOps autodeployment or infrastructure automation experience or strong CI CD fundamentals with a willingness to learn Experience leading projects A robust onetoone mentoring track record We may use artificial intelligence AI tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information These tools assist our recruitment team but do not replace human judgment Final hiring decisions are ultimately made by humans If you would like more information about how your data is processed please contact us

📌 AI Trainer Software Engineering Remote FullTime Delhi
🏢 Smart Working
📍 Delhi