AI-native Software Developer Intern - Fresher

Overview

About the job:

AI-Native Software Developer InternBuild real AI agents used daily across the companyWere looking for a high-agency, AI-native software developer intern to help us build internal AI agents that improve productivity across our entire company (80100 people using them daily).You will ship real systems, used by real teams, with real impact.If youve never built anything outside coursework, this role is probably not a fit.What Youll Work OnYou will work directly on designing, building, deploying, and iterating AI agents that power internal workflows.Examples of problems you may tackle:Internal AI agents for:Knowledge retrieval across Notion / docs / SlackAutomated report generationCustomer support assistanceProcess automation (ops, hiring, onboarding, etc.)Decision-support copilotsPrompt engineering + structured outputs + tool-using agentsBuilding workflows using:LLM APIsVector databasesAgent frameworksInternal dashboardsImproving reliability, latency, cost, and usability of AI systemsDesigning real UX around AI tools (not just scripts)You will own features end-to-end:Problem understandingSolution designImplementationTestingDeploymentIteration based on user feedbackWhat We Expect From YouYou must:Be AI-native: you actively use tools like:ChatGPT / Claude / Cursor / CopilotAI for debugging, scaffolding, refactoringPrompt iterationRapid prototypingBe comfortable with at least one programming language (Python, TypeScript, JS, etc.)Have strong critical thinkingYou question requirementsYou think about edge casesYou optimize systems, not just make them workBe high agencyYou dont wait for step-by-step instructionsYou proactively propose solutionsYou take ownership of outcomesBe able to learn fast on the jobHelp will be provided but you will not be spoonfed.Absolute Requirement (Non-Negotiable)If you have not built any side projects with a visible output, you will most likely be rejected.We expect at least one of:A deployed web appA GitHub repo with meaningful commitsA working AI toolA live demo linkA product you built and shippedAn agent, automation, bot, or workflow you createdBonus Points (Strong Signals)These are not required but will strongly differentiate you:Built projects using:LLM APIs (OpenAI, Anthropic, etc.)LangChain / LlamaIndex / custom agent frameworksVector DBs like Pinecone, Weaviate, FAISSRAG systemsExperience deploying:Vercel, Fly.io, Render, AWS, etc.Built internal tools for a team beforeStrong product intuition (you care about UX, not just code)Experience automating your own workflows using scripts or AIWhat Youll GainYou will get:Real experience building AI agents used dailyOwnership over production systemsDeep exposure to:AI architectureProduct thinkingIterative engineeringTradeoffs (cost vs latency vs accuracy)A portfolio that actually means something in 2026A strong shot at long-term roles based on performanceIf you perform well, you wont leave with a certificate, you'll leave with real-world building experience.Who This Is Perfect ForPeople who already build things for funPeople who automate their own life with scripts/toolsPeople who learn by shippingPeople who prefer responsibility over structurePeople who are excited by ambiguityWho This Is Not ForBe honest with yourself:If you need step-by-step instructionsIf you avoid open-ended problemsIf youve never built anything outside assignmentsIf you dislike using AI tools while codingThis will be frustrating for you.How To ApplySend:Your GitHubLinks to projects (deployed preferred)A short note explaining:What you builtWhy you built itWhat youd improve if you had more timeStrong portfolios beat strong resumes. Skills: AI Agents, Python, MongoDB, PostgreSQL and NodeJS (Node.js)

Who can apply:

Only those candidates can apply who:

1. are Computer Science Engineering students

Salary:

₹ 2,40,000 - 4,80,000 /year

Experience:

0 year(s)

Deadline:

2026-07-28 23:59:59

Skills required:

Python, MongoDB and PostgreSQL