Products Associate Software Engineer AI-Augmented Full Stack

Job DescriptionAssociate Software Engineer AI-Augmented Full StackDepartment: Product EngineeringEmployment Type: Full-TimeExperience: 02 YearsLocation: Noida Work from OfficeExceptional freshers with strong projects, portfolios, open-source contributions, or demonstrable engineering ability are encouraged to apply.Build Products, Not Just TicketsWe are looking for an unusually capable early-career software engineer who wants to become a world-class product builder.You should be able to start with a product problem, competitor reference, rough workflow, wireframe, or Figma designand help transform it into a thoughtful, polished, reliable, production-ready feature.This role combines:Full-stack software engineeringFrontend and UI craftsmanshipBackend and database developmentProduct and workflow thinkingUI/UX understandingCompetitive researchAI-augmented developmentRapid learning and experimentationYou will not be limited to writing code against perfectly documented requirements. You will be expected to understand what is being built, why it matters, how leading products solve similar problems, what users may struggle with, and how the overall experience can be improved.AI should make you faster and more capable. It should not replace your judgement, fundamentals, or ownership.This is not an AI/ML research role, a passive trainee position, or a ticket-execution role. It is a high-growth engineering opportunity for someone with strong fundamentals, exceptional curiosity, and the ambition to become an outstanding full-stack product engineer.What You Will DoBuild end-to-end product experiencesOwn clearly scoped features from understanding the problem through design interpretation, development, testing, deployment, and improvement.You may work on product applications, internal platforms, customer-facing workflows, websites, dashboards, automation systems, integrations, and AI-enabled product capabilities.Turn Figma into production-quality interfacesTranslate Figma designs and wireframes into responsive, accessible, high-performance frontend experiences.You will be expected to:Build reusable components rather than one-off screensMaintain design consistency across pages and workflowsHandle desktop, tablet, and mobile behaviourThink through loading, empty, error, success, validation, permission, and edge-case statesIdentify inconsistencies or usability gaps in the design before blindly implementing themBalance visual fidelity with usability, performance, maintainability, and accessibilityBuild reliable backend systemsDesign and implement the backend capabilities required to support product experiences, including:APIs and service logicDatabase schemas and queriesAuthentication and permissionsValidations and error handlingThird-party integrationsBackground jobs and notificationsLogging, monitoring, and basic security controlsYou should be able to understand the complete data flowfrom user action in the interface to backend processing, storage, and response.Understand the product before codingBefore implementation, understand:The users objectiveThe business objectiveThe existing workflowThe desired outcomeDependencies and constraintsPossible failure pointsEdge cases and alternate pathsYou may be required to map workflows, propose wireframes, clarify acceptance criteria, identify missing states, or recommend a simpler approach before development begins.Conduct meaningful competitive analysisStudy how relevant products solve similar problems and identify:Common workflow patternsUser experience conventionsStrengths and weaknessesMissing capabilitiesOpportunities for simplification or differentiationCompetitive analysis is not about copying another product. It is about understanding the market, learning from established patterns, and making informed product decisions.Use AI throughout the engineering lifecycleUse modern AI coding assistants, agents, and language models to accelerate:Technical researchPrototyping and scaffoldingCode generationDebuggingRefactoringTest creationDocumentationCode reviewCompetitive researchUnderstanding unfamiliar codebases or technologiesHowever, you must understand, validate, test, and take responsibility for everything you submit.We do not want engineers who copy AI-generated code without understanding it. We want engineers who use AI to explore more alternatives, learn faster, reduce repetitive work, and produce better outcomes.Learn new technologies quicklyYou may occasionally be required to work with a framework, API, library, platform, or development approach that you have not used before.You should be comfortable learning from documentation, examples, existing code, experimentation, and AI-assisted researchand converting that learning into working software.Maintain a high engineering standardWrite code that is:Clear and understandableModular and maintainableSecure by designAppropriately testedEasy for another engineer to reviewConsistent with the existing architectureSuitable .

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