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 90-hour course equips learners with Generative AI foundations, production-grade AI engineering, serverless deployments, agentic workflows, and vision-enabled AI applications.
The TA will play a key role in mentoring learners, resolving queries, sharing real-world practices, and guiding hands-on AI engineering projects. This role is perfect for professionals who want to contribute to next-generation AI-driven software engineering education while keeping their technical skills sharp.
Key Responsibilities (KRAs)
- Doubt-Solving 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 Vision-Language Models (VLMs)
- Share industry insights and practical examples to reinforce learning.
- Q&A and Discussion Forum Support
- Respond to student questions through forums, chat, or email with detailed explanations and actionable solutions.
- Facilitate peer-to-peer discussions on emerging tools, frameworks, and best practices in AI engineering.
- 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.
- Learner Engagement
- Drive engagement via assignment feedback, interactive problem-solving, and personalized nudges to keep learners motivated.
- Encourage learners to adopt best practices for responsible and scalable AI engineering.
- 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 Full-Stack Development.
- Strong knowledge of Python/Node.js, cloud platforms (AWS Lambda, Vercel, Cloudflare Workers), and modern AI tools.
- Hands-on experience with LLMs, Vector Databases (Pinecone, Weaviate), Agentic Frameworks (LangGraph, ReAct), and AI observability tools.
- Understanding of AI deployment, prompt engineering, model fine-tuning, and RAG pipelines.
- Excellent communication and problem-solving 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 cutting-edge AI & software engineering program with a leading ed-tech platform.
- Mentor learners on next-generation 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.
Skills: edge,llms,rag pipelines,communication,online,aws lambda,databases,cloudflare workers,ai observability tools,vercel,prompt,learning,model fine-tuning,vector databases,prompt engineering,software,new age,agentic frameworks,mentoring,problem-solving,python,models,learners,node.js
