Senior Trainer – AI Agents

4 weeks ago

Chandigarh, Chandigarh, India online eaning Full time

Company Name- Bristle Tech, Hydrabad.

About the Role:  

We are seeking a highly skilled and experienced Senior Trainer to lead our internal training and development on AI Agent creation, intelligent automation, and LLM-powered systems. This role blends technical training with real-world development – helping beginners grasp complex AI agent workflows while contributing directly to building production-level AI tools and platforms.As a Senior Trainer, you will:- Design and deliver training programs on AI agents, LLMs, RAG architecture, and full-stack over time.

Key Responsibilities:  

Deliver hands-on training on AI Agent development, prompt engineering, RAG (Retrieval-Augmented Generation), and LLM integration.

Build and maintain AI workflows using tools like LangChain, LlamaIndex, Haystack, and others.

Guide teams in setting up vector databases (Pinecone, FAISS, Chroma) and embedding techniques.

Train developers on Python programming, MERN Stack development, and API integration for automation.

Teach best practices in using LLMs (OpenAI, Claude, Hugging Face models) for custom use cases and knowledge agents.

Develop training projects with real-world use cases: customer support bots, workflow agents, email assistants, CRM bots, and more.

Build internal agent-based tools with integrations (e.g., Gmail, WhatsApp, Google Sheets, CRMs, etc.

 Collaborate with product and engineering teams to build reusable tools, workflows, and code libraries.

Continuously document processes, create structured learning content, and improve training curriculum.

Evaluate emerging AI tools, frameworks, and platforms, and keep the team up-to-date.

Required Skills & Experience:  

  • Technical Skills:

Strong Python skills (OOP, APIs, data handling, scripting).

Full stack experience with MERN Stack (MongoDB, Express, React, Node.js).

Experience working with LLM frameworks: LangChain, LlamaIndex, Haystack.

Deep understanding of Prompt Engineering, Embeddings, and RAG Architecture.

Hands-on with Vector Databases: Pinecone, FAISS, Chroma, Weaviate.

Familiar with Hugging Face, OpenAI API, and fine-tuning/customization techniques (LoRA, QLoRA optional).

Building and deploying APIs using FastAPI, Flask, or Streamlit.

Basic knowledge of Docker, serverless deployments, and Git/GitHub workflows.

Experience with Automation Workflows using n8n, Zapier, or custom Python/Node-based solutions.

Exposure to cloud services (AWS/GCP/Azure), including Lambda Functions, S3, and basic MLOps tools.

2+ years of experience in mentoring, coaching, or training junior developers or teams.

Strong communication and presentation skills to simplify complex AI concepts.

Ability to create training roadmaps, project-based assignments, and documentation.

Collaborative mindset to work with cross-functional teams.

Bonus Skills (Good to Have):

Experience with Open Source LLMs (Mistral, LLaMA, Gemma).

Knowledge of Kubernetes, CI/CD, or advanced MLOps.

Prior experience in building agent-based SaaS products or chatbot platforms.

Familiarity with Data Labeling, Knowledge Graphs, or Enterprise Search.

What We Offer:

A chance to shape the AI automation journey of hundreds of learners and teams.

Exciting projects involving cutting-edge AI/ML and agent development.

A collaborative, fast-paced, and innovation-driven team culture.

Flexible work environment and career growth in the AI ecosystem

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