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
