Senior Trainer (Generative AI, LLMs & Agents)

Role: Senior Trainer (Generative AI, LLMs & Agents)

Location: India (Remote / Hybrid)

Organization: Agentversity

About the Role

Senior Trainer in Generative AI

Prompt Engineering, RAG (Vector Databases), Multi-Agent Systems, Evaluations & Guardrails

What You'll Do

• Design and deliver

  cohort-based learning experiences

  in LLMs, RAG, agents, and GenAI fundamentals.
• Collaborate with

  AI-powered teaching assistants

  (Agentversity's in-house agents) to personalize the learner journey.
• Build

  labs, capstone projects, and live workshops

  that emphasize real-world problem solving.
• Mentor learners and track progress through

  data-driven metrics and agent-based feedback loops

  .
• Contribute to building

  interactive content, tutorials, and demo apps

  that make complex GenAI topics simple.
• Stay up to date with

  emerging GenAI tools, frameworks, and research

  , and integrate them into the curriculum.

What You Have

• 48 years

  in ML/AI (with

  2+ years in LLMs, RAG, or Agents

  ).
• Built or shipped

  at least two working GenAI applications

  (LLM app, RAG pipeline, or agent system).
• Strong skills in

  Python

  ,

  LangChain / LlamaIndex

  ,

  embeddings

  ,

  vector stores

  , and

  FastAPI / Streamlit

  .
• Familiarity with

  CI/CD for notebooks

  , reproducible workflows, and basic MLOps principles.

• Experience teaching, mentoring, or public speaking

  about AI or tech topics.

Nice to Have

• Open-source contributions in AI tooling or frameworks.
• Experience building

  data or ML pipelines

  on AWS, Azure, or GCP.
• Previous work in

  EdTech, content creation, or AI community building

  .

What Makes You Stand Out

• You're

  AI-augmented

  comfortable collaborating with GenAI tools and agents to amplify your teaching.
• You're passionate about

  learning fast and teaching faster

  .
• You've published

  educational or thought-leadership content

  on LinkedIn, X, YouTube, or Medium.
• You thrive in a

  rapid, startup-style environment

  where experimentation and innovation are daily habits.
• You love challenges and view every project as an opportunity to

  grow and push the frontier of AI education

  .

Compensation

?1224 LPA base + 1025% variable

ESOP:

Perks:

How We Hire

1. Portfolio review

   of your GenAI work

2. Micro-class design

   (we'll give you a topic)

3. Live teach-back session

   with AI feedback

4. Paid audition

   with a real learner cohort