Artificial Intelligence and Machine Learning Faculty
Mentions vibe coding explicitly as an expected understanding; role involves working with LLMs, RAG, and AI tooling.
About the Role
NIHT is hiring an AI & Machine Learning Faculty to deliver hands-on training and mentor students in building and deploying real-world AI solutions. The role combines teaching, practical demonstrations, and assisting students with projects while leveraging full‑stack development and AI tooling expertise.
Job Description
Role
AI & Machine Learning Faculty (AI Engineer Trainer) responsible for delivering practical, hands‑on training in AI, automation, and development. The role requires building and deploying real-world AI solutions, explaining concepts through demos and projects, and assisting students with studio projects and bootcamps.
Key Responsibilities
- Deliver hands-on training sessions on AI, automation, and full‑stack development.
- Explain concepts using demos, projects, and real-world examples.
- Assist students in building AI-based solutions and guide project work.
- Keep sessions practical, engaging, and focused on applied learning.
Technical Skills & Tools
- Full‑stack development: Node.js, Next.js, Python, JavaScript
- APIs & version control: REST APIs, GitHub
- Databases: MongoDB, MySQL, PostgreSQL
- Deployment and production knowledge
- AI / LLM tooling and concepts: RAG (Retrieval-Augmented Generation), embeddings, LLMs, prompt engineering
- Platforms and automation: n8n, Google AI Studio, Codex, Claude Code, vibe coding
AI Skills
- Prompt engineering
- Workflow automation
- LLMs and RAG implementations
Requirements
- Minimum 1 year experience in IT / AI / development
- Hands-on project experience building and deploying AI solutions
- Strong coding and deployment skills
- Ability to teach clearly and communicate effectively in English, Bengali, and Hindi
Compensation
- ₹20,000 - ₹28,000 per month (as stated in the posting)
Additional Notes
- Work location: In person
- Candidates will be asked to describe a deployed AI project and to confirm proficiency in ML, databases, and backend development.