Technical Trainer - AI

Department Icon Data Science Analytics & Machine Learning
Posted: 1 month ago
5-12 years
Nagpur, Maharashtra
Data Science Analytics & Machine Learning
work from office
Full Time
Closes 4 Nov 2026

Posted: 1 month ago
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Posted over 15 days ago, so the role may have closed. Confirm on the employer's page when you apply, or see similar jobs.

Job Description

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.

Skills

PythonData GovernanceData EngineerPrompt EngineeringAiSqlLlmRagLangchainLanggraphAutogenCrewaiAgenticAgentic AiAgentic WorkflowsMulti-agent Systems

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