We want someone who builds, ships, owns, and solves — not someone whose strength is only coursework. You'll take an unclear business problem, figure out what to build, and turn it into a working product across AI, software engineering, automation, web products, APIs, and internal tools. You own outcomes end-to-end and learn what you need as you go.

What You Will Build & Own

• Build AI-powered applications using LLMs, RAG, AI agents, intelligent search, document processing, and automation.

• Develop internal portals, dashboards, and business tools (HR/ATS, LMS, productivity apps).

• Design REST APIs and integrate third-party services, CRMs, and internal platforms.

• Replace manual, repetitive processes with reliable automation.

• Build and maintain frontend and backend features for internal and customer-facing products.

• Work with databases, cloud services, and production deployment environments.

• Debug, test, deploy, monitor, and continuously improve applications after launch.

• Turn stakeholder requirements into practical technical solutions.

Who We're Looking For

• Builder mindset: you build things outside tutorials and can show evidence of it.

• Ownership: you break down a requirement, make decisions, and drive it to completion.

• Execution over theory: strong fundamentals matter, but we care most about what you can ship.

• Problem solver & quick learner: you debug, research, and pick up unfamiliar frameworks or APIs when the problem needs them.

• Product thinking: you care whether it solves the business problem, not just whether the code runs.

• Strong fundamentals: practical experience in Python or another modern language; APIs, databases, Git,



and debugging.

• Generative AI basics: hands-on with LLM-based apps; able to build and deploy a complete project, not just notebooks.

Mandatory Project Showcase

A project is mandatory. Be ready to showcase at least one project you personally built and explain it end-to-end — the problem it solves, the architecture, technologies used, key challenges, and what you'd improve. A GitHub repo, deployed app, or working demo is strongly preferred; copied tutorial or academic-only projects won't count. Hackathons, competitions, and open-source work are a strong plus.

Strongly Preferred

LLM APIs (OpenAI, Gemini, Groq); RAG, vector databases, embeddings, LangChain / LangGraph, or AI-agent development; FastAPI, Flask, Django, Streamlit, or React; cloud deployment, Docker, authentication, and production API integrations; automation / workflow orchestration and CRM / LMS / HR integrations; and experience building products used by real users.

What We Offer

• Real ownership: your work ships into products and systems used across the organization.

• Production exposure: build, deploy, debug, and improve real applications.

• AI exposure: work with modern LLMs, RAG, AI agents, and automation.

• Growth through responsibility: scope grows as your ability to own projects grows

Skills: Decision Making, Testing, Git, Github, Docker, Rest Api, Database Management, Artificial Intelligence, React, Debugging, Cloud deployment, Flask, Dashboard, System Architecture, Api Integration, Apis, FastAPI, Sql, Execution, Stakeholder Management, Lms, Llm, Software Development, Cloud Services, ATS, Automation, Crm, Django, Python

Experience: 0.00-2.00 Years

📌 AI Product Engineer – Dashboard Creation & n8n Automation (Noida)
🏢 Mepa2z
📍 Noida