AI & Fullstack Intern

AI & Full-Stack Developer - 2026 Graduates Location: T-Hub, Gachibowli, Hyderabad (Work-from-Office) Duration: 3 Months Stipend: 15,000/month Schedule: Monday to Saturday | 10:00 AM 6:00 PM Company: Altibbe Health Pvt. Ltd. Product: HEDAMO Apply to: people@altibbe.com Subject Line: Application Graduate Full-Stack & AI Developer | 2026 Eligibility: 2026 pass-out only degree completed and available to join immediately. About the Role Altibbe is hiring a 2026 graduate for a hands-on technical role at T-Hub, Gachibowli, Hyderabad. Were looking for someone who can use modern AI engineering tools to build, automate, test, document, deploy, and improve real software systems. This is not a conventional internship built around observation or training exercises. The selected candidate will work on live products and internal systems from day one. Youll work on: AI agents and agentic workflows Workflow and task automation Full-stack product development Website testing and continuous improvement APIs, databases, and integrations Cloud infrastructure and deployment Terminal-based engineering and debugging Technical documentation and knowledge repositories Tech Stack & Engineering Environment Frontend: React, Next.js, TypeScript/JavaScript, Tailwind CSS Backend & Data: Node.js, REST APIs, PostgreSQL, database design and migrations, authentication AI & Automation: OpenAI, Anthropic or equivalent LLM APIs, prompt and context engineering, tool/function calling, structured outputs, agentic workflows, automation pipelines, retrieval and document-processing workflows Cloud & Engineering Operations: GCP or equivalent, Linux, shell/SSH, Git/GitHub, Docker, environment variables and secrets, logs and production debugging, CI/CD fundamentals AI Coding Tools: Claude, Claude Code, ChatGPT, Codex, Cursor, GitHub Copilot, or equivalent Who We're Looking For You dont need years of professional experience. You need evidence that you can build. You should be able to: Understand an unfamiliar codebase. Use AI coding agents without blindly accepting their output. Break a problem into steps and execute it. Build an automation or AI workflow from scratch. Work confidently in a terminal. Connect APIs and services. Test your own work. Diagnose failures using logs and evidence. Write clear technical documentation. Identify improvements in an existing product and implement them. Communicate what you did, what failed, and what remains uncertain. Personal projects, GitHub work, hackathons, deployed applications, AI experiments, automations, open-source contributions, and independently built tools are strongly valued. Eligibility You must be: A 2026 pass-out only Degree completed Available to join immediately Able to work from T-Hub, Gachibowli, Hyderabad B.Tech / BE / BSc / BCA / MCA / M.Tech or equivalent Selection Process The selection process begins with a practical AI engineering assignment. Stage 1: Practical AI Engineering Assignment Stage 2: Short Validation Call Stage 3: In-Person Technical Assessment Day at T-Hub for shortlisted candidates Stage 1 Practical AI Engineering AssignmentBuild an Agentic Work Intake & Execution PrototypeObjective Build a small but working AI application that turns unstructured incoming work such as an email, meeting notes, founder instruction, customer request, or bug report into a structured, reviewable, partially automated workflow. This is a build exercise, not a design exercise. Submit working software, not a document. Your Prototype Must Include1. Intake Provide a simple way to submit unstructured text. A web interface is preferred, but a clear CLI is acceptable. 2. AI Understanding Use an LLM to extract information using a defined structured schema, not free-form prose. Extract: Task title Summary Action items Priority Detected deadline Missing information What could be automated What requires human confirmation 3. Agentic Planning Generate an execution plan that routes each action as: Execute automatically Prepare for human review Cannot execute with available tools Requires clarification Include a brief reason for each decision. 4. Real Tools / Functions Implement at least three real tools or functions. Examples include: Draft a communication Create a task record in persistent storage Generate a Markdown brief Run a bounded website check Simulate a reminder no real calendar invites Search stored work 5. Human-in-the-Loop Control At least one action must include an explicit: Approve / Reject / Edit step before the action is treated as complete. Do not send real external email. 6. Persistence Retain state between runs. SQLite is acceptable. Store: Original request Structured interpretation Action items Status Outputs Timestamps 7. Activity Trace Provide a visible log showing what the system did. The activity .