Full Stack Engineer – Data & GenAI

Location: 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 More—Together.

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.

• Design, 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.
  

• 4+ 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.
  

• Strong 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.
  

• Product 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.
  

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.
  

• Hybrid Work Model — 3 days Work From Office + 2 days Work From Home per week
  

• AI Tooling for Everyone — AI-assisted development tools, and internal AI platforms as part of your daily toolkit
  

• Meal Card — ₹3,000 per month
  

• Paid Time Off (PTO) — 22 days annually
  

• Monthly Wellness + Phone Reimbursement — ₹2,000 per month
  

• Women's Wellness Leave — 1 paid leave per quarter for self-care
  

• Comprehensive Health Insurance — Corporate + Parental coverage
  

• A culture that truly values learning, inclusion, flexibility, and well-being
  

If you're obsessed with Salesforce, energized by Agentforce and GenAI, and want to build with the best AI tooling in the industry — mindZvue is your next destination.

Explore Life at mindZvue: https://mindzvue.com/life-at-mz/

LinkedIn: https://www.linkedin.com/company/mindZvue