Senior Technical Trainer Agentic AI

Role Summary
Seeking an experienced trainer and practitioner who can design, develop, and deliver enterprise-scale training programs in Agentic AI, Generative AI, AI-assisted software engineering, and intelligent automation. The role requires deep technical expertise combined with excellent instructional and mentoring skills.
Key Responsibilities
Deliver instructor-led training, workshops, bootcamps, hackathons, and certification programs.
Develop courseware, hands-on labs, assessments, and capstone projects.
Demonstrate real-world Agentic AI, RAG, and Multi-Agent solutions.
Mentor developers, architects, and technical teams on AI adoption and best practices.
Continuously update content based on emerging AI technologies and industry trends.
Mandatory Technical Skills
Core Development Skills
Strong expertise in Python
REST APIs, Microservices, SQL/NoSQL Databases (PostgreSQL)
Design Patterns, Secure Coding Practices, Automated Testing
Hands-on experience with FastAPI or equivalent backend frameworks
Python for Agentic AI Development
Advanced Python programming
API integration and data processing
Pydantic and Structured Outputs
JSON-based workflows
Async Programming (asyncio)
Configuration & Environment Management
Error Handling, Retry & Timeout Patterns
Agentic AI & GenAI
Agentic AI Architecture
AI Agents & Multi-Agent Systems
Agent Orchestration
Planning & Reasoning Patterns
Tool Calling & Tool Integration
Memory & State Management
Human-in-the-Loop (HITL)
AI Governance & Responsible AI
Frameworks & Platforms
LangGraph
LangChain
Model Context Protocol (MCP)
ChromaDB or equivalent Vector Database
LLM Engineering & RAG
Prompt Engineering
Context Engineering
Large Language Models (LLMs)
Embeddings & Semantic Search
Retrieval-Augmented Generation (RAG)
Document Ingestion, Chunking & Retrieval Pipelines
Hallucination Mitigation
AgentOps / LLMOps
AI Evaluation & Benchmarking
LangSmith
RAGAS / LLM Evaluation Frameworks
AI Observability, Monitoring & Reliability
Production Readiness & Governance
AI Coding Assistants
Hands-on experience with one or more:
GitHub Copilot
Claude Code
Cursor
Devin
Microsoft Copilot
Preferred Skills
Docker & Kubernetes
CI/CD (GitHub Actions, Jenkins)
Kafka, Redis
MLflow, DVC
Prometheus, Grafana, OpenTelemetry
Education
Bachelor's or Master's Degree in Computer Science, Information Technology, Engineering, AI/ML, or related disciplines.
Ideal Candidate
A software engineering professional with strong Python expertise, hands-on experience building Agentic AI solutions using LangGraph, LangChain, MCP, RAG, and AI Coding Assistants, and a passion for training, mentoring, and enabling enterprise-scale AI adoption.