Job Title: Generative AI Engineer Trainer Part-Time | Remote

Job Type: Part-Time / Freelance

Work Mode: Remote / Online

Role: Generative AI Engineer Trainer (LLMs, RAG, Agentic AI & AI Engineering)

Training Audience: Students and working professionals in the USA

We are looking for an experienced Generative AI Engineer Trainer to deliver live, instructor-led online training to students and working professionals based in the USA.

Important: This is a Generative AI Engineer Trainer role and NOT a full-time software engineering role. The ideal candidate must have strong hands-on experience building production-grade LLM applications, RAG systems, AI agents, tool-using workflows, and cloud-based AI solutions, along with a passion for mentoring learners through practical labs and real-world projects.

Key Responsibilities

- Deliver live, interactive online Generative AI training to USA-based learners aligned with US time zones.
- Teach LLM fundamentals, Generative AI, Transformers, embeddings, NLP, foundation models, and modern AI application architectures.
- Train learners to build LLM applications using Python, LangChain, LangGraph, and equivalent AI frameworks.
- Teach Retrieval-Augmented Generation (RAG), including document processing, chunking, embeddings, vector databases, semantic search, retrieval, reranking, and context optimization.
- Train learners on Agentic AI, including AI agents, tool calling, memory, state management, multi-step workflows, and agent orchestration.
- Teach Model Context Protocol (MCP), function/tool calling, and integration of AI agents with external systems and APIs.
- Cover prompt engineering, context engineering, structured outputs, prompt injection risks, AI security, and responsible AI practices.




- Guide learners through LLM evaluation and observability using test datasets, automated evaluations, LLM-as-a-judge approaches, tracing, and tools such as LangSmith.
- Train learners on foundation models and platforms including OpenAI, Anthropic Claude, Amazon Bedrock, Azure OpenAI, Llama, or comparable services.
- Teach AI backend development using Python, FastAPI, Pydantic, REST APIs, and modern software engineering practices.
- Guide learners through cloud-based AI application deployment, preferably using Microsoft Azure and related AI services.
- Mentor students through an end-to-end, portfolio-ready Generative AI / Agentic AI capstone project, including architecture reviews, debugging, code reviews, and deployment.
- Conduct mock technical interviews and provide constructive feedback to prepare candidates for Generative AI Engineer and AI Engineer roles.

Required Skills & Experience

- Minimum 4+ years of professional software engineering experience, including 2+ years of hands-on experience building LLM-based systems in production.
- Strong proficiency in Python for backend development, AI engineering, and machine learning.
- Hands-on experience building LLM applications using LangChain, LangGraph, or equivalent frameworks.
- Strong experience with RAG, embeddings, vector databases, semantic search, and retrieval pipelines.
- Practical experience building Agentic AI systems, including tool calling, memory,



state management, and multi-step workflows.
- Experience with MCP, prompt engineering, context engineering, and understanding of prompt injection and AI security risks.
- Experience with LLM evaluation, testing, observability, and tracing using LangSmith or equivalent tools.
- Strong understanding of LLMs, NLP, Transformers, deep learning, and Generative AI architectures.
- Experience with foundation models and services such as OpenAI, Anthropic, Amazon Bedrock, Azure OpenAI, Llama, or comparable platforms.
- Hands-on cloud experience, preferably with Microsoft Azure and cloud-native AI architectures.
- Exceptional spoken English and presentation skills, with comfort teaching technical topics interactively to a US audience.
- Previous experience in technical instruction, bootcamp coaching, mentoring, corporate training, or leading engineering teams is highly preferred.
- Must be willing and available to deliver sessions during US-friendly hours (EST morning or evening windows).

Preferred Certifications Microsoft Certified: Azure AI Engineer Associate

AWS Certified Machine Learning / Machine Learning Engineer

AWS Certified Solutions Architect

Comparable industry-recognized AI, cloud, machine learning, or software engineering certifications.

Important Note

This is a part-time, remote trainer opportunity only. Candidates looking exclusively for a full-time AI Engineer / Software Engineer position should not apply.

Candidates should apply only if they have 4+ years of professional software engineering experience, hands-on production LLM experience, solid GenAI/Agentic AI capabilities, and the availability to train students and professionals in the USA.

📌 AI Engineer - Gen AI - Trainer - Part-Time - Remote (Bengaluru)
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