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Trainer- Senior Agentic AI

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Remote

Trainer- Senior Agentic AI

TGC Animation and Multimedia Jaipur

Trainer- Senior Agentic AI

Skills

PythonMachine LearningAIGitHub

1 month ago

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Important information


Contract type:

Freelance / Contract, Part time

Location:

India

Work mode:

Remote

Published on:

29 September 2026

What they need


Company: AI5 Academy
Role Type: Part-Time / Freelance / Visiting Faculty
Mode: Live Online
Location: Remote / India

About the Role

AI5 Academy is seeking a seasoned Agentic AI practitioner who has actually designed, built, evaluated or deployed AI-agent systems.

This is a senior technical trainer position, not a generic GenAI or prompt-engineering role.

The AI5 Agentic AI programme covers agent architecture, tool use, structured outputs, APIs, RAG, memory, orchestration, multi-agent systems, evaluation, deployment, monitoring and failure controls.

What We Expect

The ideal trainer should be capable of taking learners from:

Agent concept → Architecture → Tool use → Knowledge/RAG → Memory → Orchestration → Multi-agent systems → Evaluation → Deployment

Key Responsibilities

  • Deliver advanced live Agentic AI sessions.
  • Teach agent vs workflow vs chatbot architectures.
  • Design agent state, roles, tools and stopping conditions.
  • Demonstrate function calling and structured tool use.
  • Teach API integration, authentication and error handling.
  • Build RAG and source-grounded agents.
  • Teach memory and context management.
  • Demonstrate supervisor, router and specialist-agent architectures.
  • Teach multi-agent orchestration.
  • Cover LangGraph, CrewAI or comparable frameworks.
  • Teach evaluation and reliability testing.
  • Demonstrate prompt-injection and permission testing.
  • Cover observability, cost, latency and monitoring.
  • Guide learners through production-minded capstone projects.

Required Technical Skills

Strong experience with several of:

  • Python
  • APIs
  • LLM APIs
  • Tool/function calling
  • RAG
  • Embeddings
  • Vector search
  • Agent memory
  • LangGraph
  • CrewAI
  • OpenAI Agents SDK
  • Multi-agent systems
  • Evaluation frameworks
  • Observability
  • Deployment

Ideal Candidate

  • Strong professional AI/ML engineering background.
  • Demonstrable agentic-AI projects.
  • Evidence of production or advanced prototype work.
  • Strong software/API fundamentals.
  • Able to explain architecture without hiding behind frameworks.
  • Prior technical mentoring or teaching preferred.

Application Requirements

CV, LinkedIn, GitHub/portfolio and:

  • 2–3 agentic systems personally built
  • Your exact contribution
  • Frameworks/tools used
  • Whether deployed or experimental
  • Architecture diagrams, if available
  • Technical writing or talks, if available
  • Teaching experience
  • Availability
  • Expected remuneration

A technical teaching demonstration will be required.

Pay: ₹9,371.83 - ₹39,771.72 per month

Work Location: Remote

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