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Location:Pune Company:Vidyavya We're building something different. Most institutes teach Data Engineering, AI/ML, or Generative AI as separate courses. We're building a single, industry-first program that teaches students how to design, build, and deploy production-ready AI systems. We're looking for someone who has actually built these systemsnot just taught from slides. What You'll Teach Our curriculum spans the complete AI engineering stack, including: Python ProgrammingSQL & Database DesignLinux & GitData Engineering (ETL/ELT, Spark, Kafka, Airflow, dbt)Data Warehousing & Lakehouse ArchitectureMachine LearningDeep LearningLarge Language Models (LLMs)Prompt EngineeringRetrieval-Augmented Generation (RAG)AI Agents & Agentic WorkflowsVector DatabasesMCP & Tool CallingMLOps & LLMOpsDocker & KubernetesAWS / Azure / GCPBuilding and Deploying End-to-End AI Applications Who We're Looking For We're not looking for someone who has watched a few GenAI tutorials. We're looking for someone who has spent years building real systems. You should have: 5+ years of hands-on industry experience in Data Engineering, AI/ML, or AI Platform EngineeringStrong command of Python and SQLExperience with Spark, Kafka, Airflow, cloud platforms, and modern data architecturesExperience building ML and GenAI applicationsHands-on experience with LLMs, RAG, vector databases, and AI agentsStrong communication and presentation skillsPrevious teaching, mentoring, or corporate training experience is highly preferred Your Responsibilities Deliver engaging classroom and hands-on sessionsMentor students through projects and capstone workKeep the curriculum aligned with industry trendsDesign assignments, assessments, and real-world case studiesConduct code reviews and technical mentorshipHelp shape one of India's most practical AI engineering programs Why Join Vidyavya This isn't another training institute. You'll play a foundational role in designing and delivering a next-generation AI engineering curriculum that prepares students for how modern AI products are actually built. If you're passionate about teaching, enjoy simplifying complex concepts, and want to help shape the next generation of AI engineers, we'd love to hear from you. Interested Send your resume, LinkedIn profile, and a brief summary of the AI systems you've built or trained others on. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.
