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Job DescriptionLocation: Indore (Hybrid) | Pune (Hybrid) Employment Type: Full-Time Experience: 4+ Years Work Model: Hybrid (3 Days Work From Office per Week | 2 Days Work From Home per Week) Full Stack. Full Data. Full AI. Deliver MoreTogether. At mindZvue, our Full Stack Engineers build the products and platforms that power an AI-native consultancy from SaaS products and internal AI platforms to GenAI solutions embedded in client ecosystems. This role sits at the intersection of modern web engineering, data, and large language models: you'll ship features in the morning, wire up an LLM pipeline in the afternoon, and see it used by real users the same week. If you're the engineer who's already building with AI not waiting for permission to come build with us. What You'll DoDesign, build, and ship full-stack web applications using React / Next.js, Node.js, and TypeScript, deployed on modern cloud platforms (Vercel, AWS, or similar).Build GenAI-powered features and Agentic workflows using LLM APIs (Anthropic Claude, OpenAI), including RAG pipelines, prompt orchestration, tool use, and evaluation.Design and manage data layers relational schemas (PostgreSQL/Supabase), data pipelines, ETL/ELT, and analytics-ready models.Integrate with third-party systems Salesforce, Slack, Make.com/workflow platforms, payment and email providers through clean, well-documented APIs and webhooks.Use Claude Code and AI-assisted engineering as a core part of your workflow and help push the boundaries of what AI-first development looks like.Own features end-to-end: architecture, implementation, testing, deployment, monitoring, and iteration.Implement authentication, authorization, and security best practices (SSO/OAuth, role-based access, data protection).Collaborate with designers, consultants, and leadership to turn ambiguous ideas into shipped, polished product.Contribute to engineering standards code reviews, CI/CD, documentation, and reusable component libraries.RequirementsWhat We're Looking For Experience & Expertise4+ years of professional full-stack development experience with JavaScript/TypeScript across frontend and backend.Demonstrable experience building with LLM APIs or GenAI frameworks production features, internal tools, or serious side projects.Solid data engineering fundamentals SQL, schema design, pipelines, and working with analytics data.Technical SkillsStrong hands-on skills in React / Next.js, Node.js, REST/GraphQL APIs, and modern CSS (Tailwind or similar).Experience with PostgreSQL / Supabase / MongoDB and at least one cloud platform (Vercel, AWS, GCP, or Azure).Practical understanding of RAG, embeddings, vector databases, prompt engineering, and agentic patterns (MCP exposure is a plus).Familiarity with Python for data/AI workloads is a plus.Strong grasp of Git, CI/CD, testing, and observability.Mindset & Soft SkillsProduct mindset you care about the user, not just the code.Bias for shipping: pragmatic, iterative, and comfortable with ambiguity.Clear written and verbal communication in a distributed team.BenefitsWhy Join mindZvue We are a Salesforce Summit (Platinum) Partner, Great Place to Work Certified, and ISO-certified organization and we are building one of the most AI-native Salesforce consultancies in the ecosystem. At mindZvue, AI is not a buzzword on a slide it is how we work every day: AI-Assisted Engineering Our teams build with AI pair-programming as a standard part of the delivery toolkit, shipping faster with higher quality.Agentforce & GenAI Practice We design and deliver Agentforce agents, Data Cloud, and GenAI-powered customer experiences for global enterprises.Internal AI Platforms Every mindZvue employee gets access to our home-grown AI tools enterprise-grade AI in your hands from day one.Learn AI by Doing You won't just read about the AI wave; you will ride it on real client projects, with real tools, backed by structured enablement and certifications.Benefits Crafted For YouHybrid Work Model 3 days Work From Office + 2 days Work From Home per weekAI Tooling for Everyone AI-assisted development tools, and internal AI platforms as part of your daily toolkitMeal Card 3,000 per monthPaid Time Off (PTO) 22 days annuallyMonthly Wellness + Phone Reimbursement 2,000 per monthWomen's Wellness Leave 1 paid leave per quarter for self-careComprehensive Health Insurance Corporate + Parental coverageA culture that truly values learning, inclusion, flexibility, and well-being .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.