AI Agent Developer – Internship
Learn to build autonomous AI agents that think, plan, and act — and become the engineer behind the next generation of AI-powered automation.
- Learn the Full Stack of AI Agent Development
- Build Real AI Agents from Day One
- Mentorship from AI Engineers Working on Real Agent Systems
- Career-Focused Internship
About Program
The AI Agent Developer Internship is designed for VTU final-year students who want to build intelligent, autonomous AI systems capable of reasoning, planning, and executing tasks. The program begins with LLM fundamentals, prompting, and workflow design; progresses into tool calling, RAG, vector databases, and API integration; and ends with multi-agent systems, automation pipelines, and full product deployment. Students learn to build agents that analyze data, perform research, generate insights, automate workflows, and interact with external tools and services. With structured mentorship and hands-on projects, learners build portfolio-ready AI agent systems and become job-ready for AI engineering, automation, and product roles.
Key Features
Program Content
Module 1 – LLMs, Prompting & Generative AI Fundamentals
Topics Covered:
- What are LLMs & how agents use them
- Tokens, context windows & limitations
- Zero-shot, few-shot prompting
- Structured prompting (JSON, schema)
- Chain-of-thought prompting
- Function calling essentials
- Safety & hallucination control
- Prompt testing & optimization
Module 2 - AI Interaction Design & Reasoning Frameworks
Topics Covered:
- Task decomposition strategies
- Intent → Plan → Action loop
- Multi-step reasoning
- Reflection & self-correction patterns
- Role-based prompting
- Memory design basics
- Tool selection logic
- Building reliable LLM workflows
Module 3 - No-Code AI Development
Topics Covered:
- Replit AI for auto-generated apps
- Lovable AI for prototype creation
- Make.com & Zapier for workflows
- Connecting AI to spreadsheets & CRMs
- No-code DBs (Airtable, Notion DB)
- Building UI without code
- Creating agent workflows visually
- Deploying no-code apps
Module 4 - API Fundamentals & JSON-Based Interactions
Topics Covered:
- REST APIs: GET, POST, headers, auth
- Working with JSON data
- Fetching data from external services
- Integrating AI models into workflows
- Connecting agents to APIs
- Calling weather, email, search & third-party tools
- Error handling in API calls
- Logging & debugging
Module 1 - Building Single-Agent Systems
Topics Covered:
- Agent architecture (Planner + Executor)
- Tools & actions design
- Creating custom tool functions
- Using OpenAI/Gemini/Claude tool calling
- Memory types: conversation, long-term, vector
- Monitoring agent tasks
- Evaluation & guardrails
- Deploying standalone agents
Module 2 - Python for Agent Development
Topics Covered:
- Python fundamentals for automation
- LangChain basics (tools, agents, chains)
- Calling LLM APIs from Python
- Creating custom tools & wrappers
- Building Executors & Handlers
- Using LlamaIndex for RAG agents
- Logging & debugging agents
- Packaging & documenting your agent
Module 3 - RAG for Agents
Topics Covered:
- Embeddings fundamentals
- Chunking & preprocessing data
- Creating a vector store
- Query → Retrieve → Respond workflow
- Building document-aware agents
- Adding memory to agents
- RAG optimization techniques
- Deploying RAG-powered assistants
Module 4 - Web Automation & Multi-Step Workflows
Topics Covered:
- Using agents with Browsing APIs
- Data extraction & analysis
- Email automation
- CRM/task automation
- Spreadsheet agents
- Multi-step task planning
- Simulated “Autonomous Mode”
- Error recovery & retry logic
Module 5 - Multi-Agent Systems
Topics Covered:
- Agent roles (Researcher, Writer, Reviewer)
- Communication & messaging
- Task delegation & coordination
- Group chats for agents
- Planning & sub-task allocation
- Evaluator agents & quality checks
- Load balancing agent tasks
- Deploying multi-agent workflows
Module 1 - Product Thinking for AI Agents
Topics Covered:
- Identifying automation opportunities
- Mapping user needs → agent capabilities
- Designing end-to-end agent flows
- Interaction UX for AI assistants
- Creating wireframes with Figma
- Defining metrics for agent performance
- Writing PRDs for agent products
- Ethical considerations
Module 2 - AI Startup & MVP Innovation
Topics Covered:
- Using agents in EdTech, Healthcare, HR, Finance
- Competitive analysis for agent startups
- MVP creation using no-code + AI
- Experimentation & iteration
- Creating pitch decks using AI
- Monetization models for agent tools
- GTM strategy basics
- Real agent product case studies
Module 3 - Career & Professional Development
Topics Covered:
- Resume writing for AI/Automation roles
- LinkedIn branding for AI professionals
- GitHub portfolio for agent projects
- Interview prep (LLMs, prompts, architecture)
- Communication skills for product demos
- Writing technical + product documentation
- Presenting your AI agent
Mini Projects
- AI Research Agent (multi-step search)
- Email Automation Agent
- Meeting Notes Agent
- Data Extraction & Analysis Agent
Concepts Covered:
- Prompting
- Tool Calling
- APIs
- Automation Basics.
Intermediate Projects
- RAG-based Document Assistant
- AI Customer Support Agent
- Workflow Automation Bot (CRM/HR/Finance)
- Web Browsing Multi-Step Agent
Concepts Covered:
- RAG
- Memory
- Multi-tool use
- Structured planning
Capstone Projects
- Full Multi-Agent System for Research + Writing
- AI Executive Assistant (end-to-end automation)
- RAG + Workflow + Multi-Agent Business Suite
- AI Operations Automation Platform
Concepts Covered:
- Architecture
- Planning
- Automation
- Evaluation
- Deployment
- Documentation
Tools & Softwares
Why Choose This Internship
Salary Scale
Job Roles
- AI Agent Developer
- AI Automation Engineer
- RAG Developer
- Workflow Engineer
- No-Code AI Developer
- AI Solutions Engineer
- AI Product Engineer
- Assistant AI Architect
- AI Operations Engineer
- Research Tools Developer
FAQ's
Yes. You'll receive VTU-compliant certificates and documentation.
No. The program starts from fundamentals and scales gradually.
Autonomous agents, multi-agent systems, workflow bots, and automation platforms.
Yes — resume, LinkedIn, GitHub, mock interviews & job guidance.
Offered in both offline and hybrid formats.
Yes, you will receive a verified completion certificate from Rooman Technologies upon meeting all requirements.
Students from CSE, ISE, AIML, ECE, EEE, Mechanical, Civil, etc.
LLMs, APIs, LangChain, RAG, Replit, No-Code tools, automation platforms.
Contact Us
Have questions about our programs or need guidance? Reach out to us and we’ll be happy to help.
Email Us
online@rooman.net
Call Us
080 6945 1000
Send us a Message
Contact Us
Have questions about our programs or need guidance? Reach out to us and we’ll be happy to help.
Email Us
online@rooman.net
Call Us
080 6945 1000