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Job Title


Founding Backend Engineer (Python/FastAPI, LLM Systems, Azure) – Build EdTech Start up


Company : MindAbs


Location : Panipat, Haryana


Created : 2026-04-16


Job Type : Full Time


Job Description

Company DescriptionWe are building an AI powered cognitive intelligence platform designed to help children (ages 6–16) develop real life thinking skills. This is a first of its kind attempt on building intelligence. MindAbs cognitive training program for children aged 6-16 is designed using the research-driven NCI Framework—Narrative Cognitive Intelligence. Unlike traditional approaches that focus on academic outcomes like grades and test scores, MindAbs develops foundational cognitive skills such as reasoning, decision-making, and problem-solving through real-life scenario-based dilemmas. These exercises target seven core cognitive pillars, including causal reasoning, perspective-taking, and metacognition, helping children think critically and act with intention. Backed by ReflectWise Labs Pvt Ltd, MindAbs is dedicated to nurturing the thinking skills that form the foundation for a meaningful and productive life. Role DescriptionAs our Backend Engineer, you’ll design and build the core backend systems powering the product—microservices, APIs, data pipelines, and LLM integrations. You’ll be responsible for making the system scalable, reliable, and intelligent.What You Will Do:Build and own 7 core microservices:AuthenticationUser ManagementQuestion BankSession EngineLLM GatewayHistory & ProgressDashboard APIsDesign and implement REST/gRPC APIs for frontend consumptionDevelop core business logic for:User sessions (choices, reflections)Scoring and cognitive analysis via LLMsProgress tracking and reportingIntegrate LLM systems (Azure/AWS private endpoints, Hugging Face, vLLM, etc.)Implement async processing pipelines (queues for scoring, summaries, etc.)Design and manage PostgreSQL schemas (JSON-based structures, performance optimization)Set up backend infrastructure:Dockerized servicesDeployment on Azure Container Apps (or equivalent)CI/CD pipelines (GitHub Actions)Monitoring and loggingEnsure security and reliability:JWT validation and role-based accessRate limiting and API protectionError handling and retriesWrite robust tests (unit + integration) for core systemsCollaborate closely with frontend and founders for rapid iterationShip a production-ready backend MVP within ~1 monthQualifications3+ years of backend development experienceStrong proficiency in Python (FastAPI preferred, Flask acceptable)Experience building microservices and scalable APIsSolid understanding of:Async programming (asyncio)API design and system architectureDatabase design (PostgreSQL)Hands-on experience with:LLM integrations / AI systemsQueue systems (Azure Service Bus, RabbitMQ, Redis, etc.)Docker and cloud platforms (Azure/AWS)Familiarity with CI/CD, monitoring, and production systemsTesting experience (Pytest, integration testing)Ability to work independently in a fast-paced startup environmentBonus PointsExperience with AI/LLM-powered applicationsExposure to quantized models / inference optimizationExperience with Azure ecosystem (ACA, APIM, Service Bus)Knowledge of OAuth2 / advanced security patternsExperience with analytics, reporting, or time-series dataStrong product thinking and ability to make pragmatic trade-offsWhy This RoleBuild the core intelligence layer of the productWork on real-world LLM systems, not just wrappersHigh ownership and autonomy from day oneWork directly with the founder and shape technical directionOpportunity to grow into a founding/lead backend roleTimeline & CompensationImmediate start preferredContract role (with potential extension/full-time)Compensation: As per industry standardsHow to ApplySend us:Your resumeGitHub / portfolio (with backend + API projects)Any work related to AI/LLMs (if available)A short note on why this excites you @ NoteIf you haven’t worked with FastAPI or Azure but have strong experience with similar stacks (Node.js, Flask, AWS, etc.), we’d still love to talk. We care more about system thinking and learning ability than specific tools.