GenAI Developer Internship :
Most AI internships sound exciting, but many don’t involve real work. This GenAI Developer Internship in Bengaluru at Counfreedise is different. It focuses on actually building AI systems using tools like LangChain, RAG, and APIs—not just learning basics. If you’ve already tried working with Python or explored AI projects, this role can help you move faster and gain real experience.
About Counfreedise Retail & GenAI Focus
Counfreedise Retail Services is building practical, technology-driven solutions, and its focus on GenAI reflects that direction. Instead of treating AI as a trend, the company is applying it to real use cases—automation, data-driven workflows, and smarter systems. The GenAI work here is hands-on and evolving, which means you’re not just observing but actively contributing to how these systems are designed and improved. It’s a setting where experimentation is encouraged, but results still matter.
GenAI Developer Internship – Role Overview
GenAI Intern Skills & Technical Requirements
| Skill Category | Key Technologies / Concepts | What You’ll Actually Do (Real Work Context) |
|---|---|---|
| GenAI & Agentic AI | LangChain, LangGraph, DeepAgents, Google ADK | Build AI agents that can plan tasks, take actions, and automate flows |
| RAG & Retrieval | GraphRAG, Hybrid RAG, Self-Reflective RAG | Improve AI responses using structured data retrieval systems |
| Programming | Python | Write clean, production-level code for AI workflows and APIs |
| API Development | FastAPI, REST APIs, Pydantic | Develop backend services and integrate AI models via APIs |
| Cloud & Deployment | AWS (Lambda, API Gateway), Docker | Deploy scalable AI applications using serverless architecture |
| Automation Tools | Playwright, Selenium, Crawl4AI | Automate browser-based tasks and workflows |
| AI Model Integration | Gemini API, Anthropic APIs | Connect and manage LLMs for real-world applications |
| Data Handling | JSON, XML | Process and structure data for AI pipelines |
| CI/CD & Workflow | Basic CI/CD pipelines | Support deployment and continuous integration processes |
GenAI Internship Responsibilities in Real Projects
Build AI-Powered Applications
Work with modern LLM APIs to develop real-world AI features that solve practical problems, not just demos.
Design Agentic Workflows
Create intelligent systems that can plan, act, and respond using structured multi-step workflows.
Develop RAG Pipelines
Improve AI accuracy by integrating retrieval systems that connect models with relevant data sources.
Build Backend APIs
Develop FastAPI-based services to connect AI models with frontend applications and external systems.
Deploy on Cloud
Work with AWS serverless tools to deploy scalable and efficient AI applications.
Automate Workflows
Use automation tools to streamline repetitive tasks and improve system efficiency.
Collaborate with Teams
Work closely with developers and product teams in a fast-moving environment.
Stay Updated with AI Trends
Continuously explore new tools, models, and techniques in the GenAI space.
GenAI Intern Salary in Bengaluru (1.2–1.8 LPA)
| Salary Component | Details |
|---|---|
| Annual Salary | ₹1.2 – ₹1.8 LPA |
| Monthly Stipend | ₹10,000 – ₹15,000 (approx.) |
| Job Type | Full-Time Internship |
| Location Impact | Standard for Bengaluru startups |
| Growth Opportunity | Possible full-time conversion |
GenAI Internship Hiring Process (Startup Roles)
Step 1: Application Screening
Your resume and projects are reviewed to check basic understanding of Python, AI tools, and hands-on work.
Step 2: Technical Evaluation
You may be asked to solve a practical task or explain your past projects related to APIs, RAG, or AI workflows.
Step 3: Practical Discussion
Expect questions on how you approach problems, build systems, and apply tools like LangChain or FastAPI.
Step 4: Final Interaction
A quick discussion with the team to assess communication, clarity of thinking, and adaptability.
Step 5: Offer & Onboarding
Selected candidates receive the offer and begin working in a fast-paced, hands-on environment.
GenAI Internship FAQs for Freshers in India
What skills are required for a GenAI internship?
Basic Python, understanding of APIs, and familiarity with tools like LangChain or RAG concepts are commonly expected.
Can freshers apply for GenAI internships?
Yes. Freshers with hands-on projects in AI, machine learning, or automation have a good chance of getting selected.
Is coding mandatory for AI internships?
Yes. Most GenAI roles require Python and the ability to build or integrate APIs and backend logic.
What is RAG in GenAI jobs?
RAG (Retrieval-Augmented Generation) improves AI responses by combining language models with external data sources.
What is the average salary for AI interns in India?
Most AI internships offer ₹10,000 to ₹25,000 per month depending on skills, company, and project complexity.
Apply for GenAI Internship in Bengaluru
| Company Name | Counfreedise Retail Services Limited |
|---|---|
| Job Name | GenAI Internship |
| 📍 Location | Bangalore |