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Artificial Intelligence Engineer

NIHT INFOSOLUTION PRIVATE LIMITED

1 - 3 years

Kolkata, Adra

Posted: 30/04/2026

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Job Description

About the Company:

NIHT is one of Eastern Indias leading marketing training institutes with 20+ years of legacy, 50,000+ graduates, and a 93% placement rate. Backed by Brands2be, a leading digital agency, we offer hands-on training in digital marketing, generative AI, and agentic AI, led by industry experts. Students gain real-world exposure through studio projects, podcasts, bootcamps, and 20+ global certifications via Google, Meta, Skill India, and MESC.

About the Role:

We are looking for an AI Engineer Trainer with at least 1 year of experience in IT. The ideal candidate should be a full stack developer with a strong backend focus, along with hands-on experience in AI and machine learning, with the ability to build, deploy, and explain real-world solutions.

Responsibilities:

  • Deliver hands-on training on AI, full stack development with backend focus, and automation
  • Explain concepts through live demos, use cases, and projects
  • Assist in building scalable AI-based backend solutions
  • Keep sessions practical, industry-focused, and engaging

Qualifications:

  • 1+ year experience in IT / AI / full stack development (backend-focused)
  • Hands-on project experience (AI + backend preferred)
  • Ability to teach and explain technical concepts clearly
  • Excellent communication skills English, Bengali, Hindi

Required Skills:

  • Full stack developer with strong backend expertise (Node.js, Next.js, Python / JavaScript)
  • Experience building and consuming REST APIs
  • Version control using GitHub
  • Databases: MongoDB / MySQL / PostgreSQL (one or more)
  • Good understanding of backend architecture and system design
  • Deployment knowledge (cloud / server environments)

Preferred Skills:

  • Strong understanding of Machine Learning fundamentals
  • Hands-on experience with LLMs, RAG, and embeddings
  • Prompt Engineering and AI workflow design
  • Automation tools (n8n, Google AI Studio, Codex, Claude Code)
  • Ability to build AI-integrated backend systems

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