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Senior Trainer (Generative AI, LLMs & Agents)

Senior Trainer (Generative AI, LLMs & Agents)

ConfidentialBengaluru / Bangalore, India
17 days ago
Job description

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

Location : India (Remote / Hybrid)

Organization : Agentversity

About the Role

At Agentversity, we're building the next generation of AI-powered learning. As a Senior Trainer in Generative AI , you won't just teach—you'll collaborate with AI agents to design, deliver, and continuously improve cohort-based learning experiences.

You'll create immersive learning modules on Prompt Engineering, RAG (Vector Databases), Multi-Agent Systems, Evaluations & Guardrails , and help learners build real GenAI applications. Think of this as a Forward Deployed Engineer role for the EdTech world — fast, hands-on, and impact-driven.

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

  • 4–8 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

    ₹12–24 LPA base + 10–25% variable

    ESOP : 0.10–0.50% equity

    Perks : Remote flexibility, AI-agent tools, learning credits, community events, and upskilling budget.

    How We Hire

  • Portfolio review of your GenAI work
  • Micro-class design (we'll give you a topic)
  • Live teach-back session with AI feedback
  • Paid audition with a real learner cohort
  • Skills Required

    FastAPI, Python

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