{"id":2449461,"url":"https://alion.io/job/valuecoders-internal-hiring-product-associate-software-engineer-ai-augmented-full-stack","title":"[Internal Hiring]: Product-Associate Software Engineer – AI-Augmented Full Stack","company":{"id":2553864,"name":"ValueCoders","domain":"valuecoders.com","url":"https://alion.io/company/valuecoders-com","size_band":"1-10","is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":"Keka","truth_index":{"grade":"B","score":75,"open_postings":7,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-14T06:34:16Z"}},"role":"Product","role_family":"Product","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Noida, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":200000,"max":258000,"currency":"INR","period":"year","gross":null,"usd_annual":2702},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":".NET","optional":false},{"name":"Angular","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Figma","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"JavaScript","optional":false},{"name":"LLM","optional":false},{"name":"Next.js","optional":false},{"name":"Node JS","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"Redis","optional":false},{"name":"TypeScript","optional":false},{"name":"Vue.js","optional":false},{"name":"C#","optional":true}],"status":"live","first_seen_at":"2026-08-17T07:00:50Z","employer_posted_date":"2026-08-17","last_verified_at":"2026-10-14T01:57:19Z","board_verified":true,"closed_at":null,"days_open":57,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":57},"description":"Job Description\nAssociate Software Engineer - AI-Augmented Full Stack\nDepartment: Product Engineering\nEmployment Type: Full-Time\nExperience: 0-2 Years\nLocation: Noida - Work from Office\nExceptional freshers with strong projects, portfolios, open-source contributions, or demonstrable engineering ability are encouraged to apply.\nBuild Products, Not Just Tickets\nWe are looking for an unusually capable early-career software engineer who wants to become a world-class product builder.\nYou should be able to start with a product problem, competitor reference, rough workflow, wireframe, or Figma design-and help transform it into a thoughtful, polished, reliable, production-ready feature.\nThis role combines:\nFull-stack software engineering\nFrontend and UI craftsmanship\nBackend and database development\nProduct and workflow thinking\nUI/UX understanding\nCompetitive research\nAI-augmented development\nRapid learning and experimentation\nYou 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.\nAI should make you faster and more capable. It should not replace your judgement, fundamentals, or ownership.\nThis 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.\nWhat You Will Do\nBuild end-to-end product experiences\nOwn clearly scoped features from understanding the problem through design interpretation, development, testing, deployment, and improvement.\nYou may work on product applications, internal platforms, customer-facing workflows, websites, dashboards, automation systems, integrations, and AI-enabled product capabilities.\nTurn Figma into production-quality interfaces\nTranslate Figma designs and wireframes into responsive, accessible, high-performance frontend experiences.\nYou will be expected to:\nBuild reusable components rather than one-off screens\nMaintain design consistency across pages and workflows\nHandle desktop, tablet, and mobile behaviour\nThink through loading, empty, error, success, validation, permission, and edge-case states\nIdentify inconsistencies or usability gaps in the design before blindly implementing them\nBalance visual fidelity with usability, performance, maintainability, and accessibility\nBuild reliable backend systems\nDesign and implement the backend capabilities required to support product experiences, including:\nAPIs and service logic\nDatabase schemas and queries\nAuthentication and permissions\nValidations and error handling\nThird-party integrations\nBackground jobs and notifications\nLogging, monitoring, and basic security controls\nYou should be able to understand the complete data flow-from user action in the interface to backend processing, storage, and response.\nUnderstand the product before coding\nBefore implementation, understand:\nThe user’s objective\nThe business objective\nThe existing workflow\nThe desired outcome\nDependencies and constraints\nPossible failure points\nEdge cases and alternate paths\nYou may be required to map workflows, propose wireframes, clarify acceptance criteria, identify missing states, or recommend a simpler approach before development begins.\nConduct meaningful competitive analysis\nStudy how relevant products solve similar problems and identify:\nCommon workflow patterns\nUser experience conventions\nStrengths and weaknesses\nMissing capabilities\nOpportunities for simplification or differentiation\nCompetitive analysis is not about copying another product. It is about understanding the market, learning from established patterns, and making informed product decisions.\nUse AI throughout the engineering lifecycle\nUse modern AI coding assistants, agents, and language models to accelerate:\nTechnical research\nPrototyping and scaffolding\nCode generation\nDebugging\nRefactoring\nTest creation\nDocumentation\nCode review\nCompetitive research\nUnderstanding unfamiliar codebases or technologies\nHowever, you must understand, validate, test, and take responsibility for everything you submit.\nWe 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.\nLearn new technologies quickly\nYou may occasionally be required to work with a framework, API, library, platform, or development approach that you have not used before.\nYou should be comfortable learning from documentation, examples, existing code, experimentation, and AI-assisted research-and converting that learning into working software.\nMaintain a high engineering standard\nWrite code that is:\nClear and understandable\nModular and maintainable\nSecure by design\nAppropriately tested\nEasy for another engineer to review\nConsistent with the existing architecture\nSuitable for production use\nParticipate constructively in code reviews and improve your work based on feedback.\nWhat We Are Looking For\nEngineering fundamentals\nYou should have a sound understanding of:\nProgramming fundamentals\nData structures and basic algorithms\nObject-oriented and/or functional programming concepts\nAPIs and client-server architecture\nRelational or document databases\nVersion control using Git\nDebugging and problem isolation\nBasic application security\nTesting principles\nWe value practical understanding over memorised terminology.\nFrontend capability\nHands-on experience with:\nHTML\nCSS\nJavaScript or TypeScript\nResponsive web development\nA modern frontend framework such as React, Next.js, Vue, or Angular\nComponent-based development\nAPI integration\nBrowser debugging and performance basics\nYou should care about spacing, hierarchy, typography, responsiveness, interaction states, and the overall quality of the user experience.\nBackend capability\nWorking knowledge of at least one backend technology or ecosystem, such as:\nNode.js\nPython\nJava\n.NET\nYou should understand how to build APIs, work with databases, validate inputs, handle errors, structure application logic, and implement basic authentication and permissions.\nYou do not need to be equally advanced across every layer on day one. However, you must be willing and able to work across the complete stack.\nProduct and UI/UX thinking\nYou should be able to look beyond the visible screen and think about:\nUser journeys\nInformation hierarchy\nWorkflow simplicity\nForm behaviour\nNavigation\nFeedback and system states\nAccessibility\nError prevention\nEdge cases\nBusiness rules\nFormal design training is not required, but sensitivity to good product design is essential.\nLearning ability and ownership\nWe are looking for someone who:\nLearns quickly and independently\nAsks thoughtful questions\nInvestigates before escalating\nCan work through ambiguity\nDoes not wait passively for every detail\nAccepts feedback without becoming defensive\nCommunicates progress and blockers clearly\nTakes responsibility for the final outcome, not merely the code written\nWhat Will Make You Stand Out\nYou will have a significant advantage if you can demonstrate one or more of the following:\nA strong GitHub profile or product portfolio\nA complete application that you built and deployed\nMeaningful open-source contributions\nExperience converting Figma designs into responsive interfaces\nExperience designing both frontend and backend for the same feature\nExperience with design systems or reusable component libraries\nKnowledge of PostgreSQL, Redis, queues, caching, or search\nExperience with testing frameworks and CI/CD\nFamiliarity with Docker or cloud deployment\nExperience integrating LLM APIs or building AI-enabled product features\nEvidence that you learned an unfamiliar technology and shipped something useful with it\nAbility to explain technical decisions, compromises, mistakes, and lessons clearly\nCertificates alone will not differentiate you. What you have built, how you think, and how quickly you learn will.\nThis Role May Not Be Right for You If\nThis position may not be suitable if you:\nWant to work only on AI/ML models or data science notebooks\nWant to work exclusively on frontend or exclusively on backend\nNeed complete, step-by-step instructions before beginning\nTreat Figma as something to copy without understanding the user experience\nDepend on AI-generated code that you cannot explain\nFocus only on completing assigned tasks rather than improving the outcome\nAvoid testing, documentation, code review, or feedback\nAre uncomfortable learning unfamiliar technologies\nWhat Success Looks Like\nWithin your first few weeks, you should be able to understand our engineering standards, development workflow, product context, and existing systems-and begin contributing meaningful improvements.\nWithin the first 90 days, a successful associate engineer should be able to:\nIndependently own a reasonably scoped feature\nConvert a design or workflow into a functional full-stack implementation\nIdentify missing requirements and edge cases before development\nProduce clean, reviewable, appropriately tested code\nUse AI tools productively without compromising quality\nCommunicate decisions, progress, and risks clearly\nDemonstrate visible improvement in speed, judgement, and engineering maturity\nWhat You Will Get\nReal product ownership from an early stage\nExposure to frontend, backend, product, design, AI, and deployment\nOpportunities to work on live products and meaningful business problems\nAccess to modern AI-assisted engineering tools and workflows\nMentorship and regular technical feedback\nA high-learning environment with room to experiment\nCareer progression based on demonstrated capability and ownership-not merely tenure\nThe opportunity to grow into a strong full-stack engineer, product engineer, technical lead, or AI-enabled application 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