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    Job · 12154859

    NAGPUR · FULLTIME

    Technical Trainer - AI

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    Talentgigs

    Nagpur · onsite · Posted 64d ago

    Sourced fromFoundit
    Not disclosed5–12 yrsfulltimeNagpur

    About a minute. You'll make an account on the way through.

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    Section · 01

    About this role

    We are looking for an enterprise AI professional — developer, solutions architect, or data engineer — with demonstrable experience building and deploying AI-powered systems in production. You will design and deliver training grounded in how enterprise AI teams actually work, and teach learners in Nagpur skills that get them hired.

    WHAT YOU WILL DO

    ▸ Design and deliver live, hands-on training in Applied AI, LLM Engineering, Agentic Systems, and Enterprise Automation — structured as Theory → Demo → Build.

    ▸ Build module curricula that mirror real corporate workflows: sprint cycles, stakeholder sign-offs, system architecture, and production deployment.

    ▸ Teach Agentic AI in depth — LLM orchestration (LangChain, LangGraph, CrewAI, AutoGen), RAG pipelines, tool-calling agents, and multi-agent systems.

    ▸ Run enterprise simulation labs using real client briefs, data governance constraints, and delivery deadlines.

    ▸ Mentor learners through capstone projects and prepare them for technical interviews with industry-standard code reviews.

    ▸ Stay current: bring new frameworks and tools into the classroom within weeks of industry adoption.

    WHAT WE NEED

    Experience

    5–12 years in technology / AI, with time inside corporate or enterprise environments — real clients, production systems, organisational complexity.

    AI (Mandatory)

    Hands-on with LLM engineering, agentic workflows, RAG, and prompt engineering at depth. You must be able to build, debug, and explain these live.

    Tech Stack

    Python · LangChain / LangGraph · CrewAI / AutoGen · RAG · Vector DBs · REST APIs · Cloud (AWS / Azure / GCP) · Docker · SQL

    Enterprise Depth

    Built solutions that integrate with corporate systems — ERPs, CRMs, data pipelines, API architectures. You know what production-ready means.

    Teaching

    No formal degree required. You explain complex things clearly, you are patient with confusion, and you are firm about quality.

    Sourced from foundit

    Section · 02

    Skills

    DockerRetrieval Augmented GenerationAutoGenCrewaigoogle cloud platformamazon web servicesvector DBsPythoncloudSQLREST APIMicrosoft AzureLanggraphLangchain

    Technical Trainer - AI · waiting for your command