AI Platform Developer & Data Engineer

About the Project The project focuses on addressing inefficiencies in Sales, Distribution, and Marketing (SDM), where fragmented execution and unstructured decision-making limit business outcomes. It is being developed as a structured, AI-enabled system through three stages: system design and frontend development to define user interaction and input flow, backend development to establish the core processing and data structure, and agentic AI orchestration to enable coordinated AI-driven support across SDM activities. The overall objective is to create a scalable framework that improves clarity, alignment, and decision-making without exposing underlying system logic. About the Opportunity We are organizing a national-level hackathon focused on AI-driven business intelligence and execution systems. Participants will work on building AI-powered platforms and structured technical data rooms, solving real-world business problem statements using automation, machine learning, and intelligent workflows. Role Objective To design and develop a functional AI-enabled platform prototype along with a comprehensive technical data room, showcasing architecture, logic, and execution capability. Key Responsibilities AI Platform Development Build a functional prototype (web/app-based) using AI integration Design intelligent workflows based on problem statements Develop systems capable of: Input understanding (text-based or structured) Output generation (insights, recommendations, or workflows) Integrate AI APIs / models for automation and decision support Technical Data Room Creation Participants are required to build a complete technical data room, including: Platform architecture (system design, workflows, logic) AI model usage / integration approach Tech stack documentation Feature breakdown and modular structure Scalability and future scope consideration System Design & Logic Building Create structured problem-to-solution frameworks Define input-output pipelines Develop logic for automation, scoring, or recommendations Focus on efficiency, usability, and clarity of output Prototype & Demonstration Build a working or semi-working prototype Present: Platform functionality AI integration Use-case demonstration Deliverables Functional / semi-functional AI-based platform prototype Technical Data Room (well-structured and documented) System architecture + workflow diagrams Skills Required Core Technical Skills AI/ML fundamentals (must-have) Python / JavaScript / Node.js / React (any stack) API integration & backend logic building Basic understanding of system design AI & Advanced Skills (Preferred) Prompt engineering Workflow automation tools Data processing & structuring Experience with AI-based projects (strong preference) Additional Skills Problem-solving and analytical thinking Ability to convert ideas into structured systems Documentation and presentation skills Eligibility Students from Engineering / Tech / Data / AI backgrounds Individuals who have worked on AI-based projects / prototypes Strong interest in building AI-powered products What You Will Gain Hands-on experience in building AI-powered platforms Exposure to real-world problem-solving using AI Opportunity to showcase technical and product-building skills Certificate of Participation Performance-based recognition Top performers may receive Job Opportunity (PPO). SDM Agentic AI Hackathon - 3 Stage Track This hackathon challenges participants to design and build a one-stop Sales, Distribution, and Marketing Agentic AI solution that includes concept, intelligence models, and business feasibility. Stage 1 — 1 DayStage 2 — 3 DaysStage 3 — 2 Days Total = 6 Days Stage 1 - Ideation & Concept Design Objective Design the SDM Agentic AI platform architecture Participants Must Define SDM problem statement One-stop SDM solution concept Sales Distribution Marketing integration logic Agentic AI orchestration structure Input → Processing → Output flow Decision to execution mapping Output SDM platform concept AI orchestration logic System architecture flow This stage builds the platform foundation. Stage 2 - Prototype Development Objective Develop 15 Agentic AI models for SDM activities Participants must create: Sales (5 Models) Lead generation AI Sales forecasting AI Pricing decision AI Pipeline optimization AI Conversion improvement AI Distribution (5 Models) Territory mapping AI Dealer expansion AI Inventory optimization AI Distributor performance AI Channel optimization AI Marketing (5 Models) Campaign planning AI Demand generation AI Market research AI Promotion optimization AI Branding strategy AI Output 15 Agentic AI SDM Models This stage builds the intelligence layer. Stage 3 - Need, Budget & ROI Analyzer Objective Build business justification and decision layer Participants must create: Need Analyzer Business problem identification Current inefficiency measurement Gap analysis Opportunity size Budget Calculator Implementation cost Resource cost Technology cost Deployment cost ROI Calculator Revenue impact Cost savings Payback period ROI multiple Output Complete feasibility & investment decision model This stage builds the business validation layer. Final Hackathon Outcome By end of Stage 3 participants create: SDM Agentic AI Platform Concept15 AI Decision ModelsAI Orchestration LogicNeed AnalyzerBudget CalculatorROI EngineExecution Flow These results in a complete SDM decision-to-execution AI system. CHALLENGE MATRIX (CORE EVALUATION ENGINE) Dimension Benchmark (Quantified) Quality Standard Triggering Conditions (Failure) Rewards AI System Architecture 15/15 agents implemented Modular, scalable, orchestrated Missing agents / weak logic Shortlist for AI/Product roles Workflow Intelligence 100% mapped pipeline Autonomous decision loops Linear/no intelligence flow System Architect Recognition Financial Model ROI ≥ 2x, Payback ≤ 18 months Investment-grade modeling Unrealistic assumptions IB/Consulting fast-track Technical Documentation 100% coverage CTO + Investor ready Missing clarity/logic gaps Portfolio-grade certification Market Validation ≥ 3 industries tested Execution-backed strategy Generic ideas Jury distinction Prototype Functional or semi-functional Clean UX + logical flow Broken demo Product showcase visibility Data Structuring ≥95% structured pipelines Scalable architecture Unstructured inputs Tech excellence badge Compliance 0 violations Full NDA adherence Any breach Immediate elimination EVALUATION FRAMEWORK Quantitative (80%) AI Model Development → 20% System Architecture Efficiency → 15% Financial Justification (ROI, Cost) → 15% Technical Documentation → 10% Prototype Functionality → 10% Market Validation → 10% Qualitative (20%) Strategic Thinking → 10% Communication & Storytelling → 10