Teaching Assistant – New Age Software Engineering

About the Role

Masai, in academic collaboration with a premier institute, is seeking a Teaching Assistant (TA) for its New Age Software Engineering program. This advanced 90hour course equips learners with Generative AI foundations, productiongrade AI engineering, serverless deployments, agentic workflows, and visionenabled AI applications.

The TA will play a key role in mentoring learners, resolving queries, sharing realworld practices, and guiding handson AI engineering projects. This role is perfect for professionals who want to contribute to nextgeneration AIdriven software engineering education while keeping their technical skills sharp.

Key Responsibilities (KRAs)

1. DoubtSolving Sessions

• Conduct or moderate weekly sessions to clarify concepts across:
  
  

• • Generative AI & Prompt Engineering
    
    

  • AI Lifecycle Management & Observability
    
    

  • Serverless & Edge AI Deployments
    
    

  • Agentic Workflows and VisionLanguage Models (VLMs)
    
    

  • • Share industry insights and practical examples to reinforce learning.
      
      

    • 2. Q&A and Discussion Forum Support

      • Respond to student questions through forums, chat, or email with detailed explanations and actionable solutions.
        
        

      • Facilitate peertopeer discussions on emerging tools, frameworks, and best practices in AI engineering.
        
        

      • 3. Research & Project Support

        • Assist learners in capstone project design and integration, including vector databases, agent orchestration, and performance tuning.
          
          

        • Collaborate with the academic team to research emerging AI frameworks like LangGraph, CrewAI, Hugging Face models, and WebGPU deployments.
          
          

        • 4. Learner Engagement

          • Drive engagement via assignment feedback, interactive problemsolving, and personalized nudges to keep learners motivated.
            
            

          • Encourage learners to adopt best practices for responsible and scalable AI engineering.
            
            

          • 5. Content Feedback Loop

            • Collect learner feedback and recommend updates to curriculum modules for continuous course improvement.
              
              

            • Candidate Requirements

              • 2+ years of experience in Software Engineering, AI Engineering, or FullStack Development.
                
                

              • Strong knowledge of PythonNode.js, cloud platforms (AWS Lambda, Vercel, Cloudflare Workers), and modern AI tools.
                
                

              • Handson experience with LLMs, Vector Databases (Pinecone, Weaviate), Agentic Frameworks (LangGraph, ReAct), and AI observability tools.
                
                

              • Understanding of AI deployment, prompt engineering, model finetuning, and RAG pipelines.
                
                

              • Excellent communication and problemsolving skills; mentoring experience is a plus.
                
                

              • Familiarity with online learning platforms or LMS tools is advantageous.
                
                

              • Engagement Details

                • Time Commitment: 6 to 8 hours per week
                  
                  

                • Location: Remote (online)
                  
                  

                • Compensation: ₹8,000 to ₹10,000 per month
                  
                  

                • Why Join Us?

                  Benefits and Perks

                  • Contribute to a cuttingedge AI & software engineering program with a leading edtech platform.

                  • Mentor learners on nextgeneration AI applications and engineering best practices.

                  • Engage in flexible remote working while influencing future technological innovations.

                  • Access to continuous professional development and faculty enrichment programs.

                  • Network with industry experts and professionals in the AI and software engineering domain.