AI Automation & Full-Stack Engineer

About us

Swift is building a next generation checkout and fulfillment service for India — a platform rolling up payments and logistics solutions for all fulfillment needs. We give emerging D2C brands the opportunity to provide a customer experience at par with the likes of Amazon and Flipkart, for channels spanning across marketplaces (Amazon, Flipkart etc.), webstores (Shopify, WooCommerce etc.) and social media stores (WhatsApp, Instagram etc.). Think of us like Amazon for the vast majority of brands that do not want to rely solely on marketplaces for their sales.

We are a young, Kalaari-backed start-up that believes that there are many things a brand has to worry about when selling online — logistics and payments shouldn’t be one of them. With our solution, SMBs and D2C brands get access to technologies and services like one-tap checkout, payment processing, live tracking, COD and returns reconciliation, delivery intelligence and much more.
We want to be the #1 e-commerce stack that’s reliable, easy to use, and affordable.

About the Role

We are looking for a pragmatic, fast-moving AI Automation & Full-Stack Engineer to join our team. In this role, you will bridge the gap between AI-driven workflow automation and hands-on software engineering. You will design and build automated internal and external workflows, leverage modern AI coding tools to ship at high velocity, maintain and enhance features across our existing Elite platform (both frontend and backend), and build and deploy standalone web applications from scratch.

If you thrive in rapid deployment cycles, enjoy turning repetitive manual processes into reliable automated pipelines, and can take an idea from code to production hosting independently, we want to hear from you.

Key Responsibilities

1. AI & Workflow Automation: Design, build, and maintain end-to-end automated workflows connecting internal tools, APIs, databases, and LLM agents to eliminate manual bottlenecks and boost team productivity.

2. AI-Accelerated Development: Actively utilize AI developer tools (e.g., Cursor, GitHub Copilot, Claude Code) and LLM APIs (OpenAI, Anthropic, Gemini) to prototype, write, test, and refactor code rapidly.

3. Elite Platform Enhancements: Jump into our existing Elite codebase to execute frontend UI updates, backend API adjustments, bug fixes, and feature improvements cleanly and safely.

*4. Standalone Apps & Websites: *Architect, develop, and launch standalone web applications, micro-tools, and landing sites independently from zero to production.

5. Deployment & Infrastructure: Own the end-to-end deployment lifecycle—configuring CI/CD pipelines, managing environments, and hosting applications across modern cloud and PaaS platforms.

6. Fast-Paced Iteration: Adapt quickly to shifting priorities, shipping incremental updates in tight feedback loops while keeping systems stable and maintainable.

Required Skills & Qualifications

1. Strong Coding Fundamentals: Solid proficiency in modern web development languages and frameworks—such as JavaScript/TypeScript (React, Next.js, Node.js) and/or Python (FastAPI, Flask).

2. Full-Stack Capability: Comfortable working across both frontend interfaces (HTML/CSS, React/Tailwind) and backend logic (REST/GraphQL APIs, authentication, relational/NoSQL databases).

3. Workflow Automation & API Integration: Hands-on experience building automations using code and/or orchestration tools (e.g., n8n, Make, Zapier, custom webhooks, cron jobs) and integrating third-party REST APIs.

4. Practical AI Tooling: Proven experience integrating LLM APIs, prompt engineering, RAG/agent workflows, and using AI-assisted IDEs to multiply personal coding output.

5. Deployment & Hosting Mastery: Practical experience deploying, scaling, and troubleshooting apps on platforms such as Vercel, Netlify, AWS, GCP, Render, Railway, or Docker-based environments.

6. Builder Mindset: High ownership, comfort with ambiguity, and the ability to ship production-ready solutions quickly without waiting for heavy hand-holding.

Nice-to-Haves

1. Experience with version control best practices (Git/GitHub Actions) and automated testing.
2. Familiarity with vector databases, webhook security, or rate-limit handling in high-volume automations.
3. A portfolio, GitHub profile, or live links to standalone apps, tools, or websites you have built and deployed independently.