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 & Setting 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.

📌 Senior Technical Trainer – Agentic AI (Maharashtra)
🏢 Tech Mahindra
📍 Maharashtra