AI Engineer, Full Stack (Automation & Frontend Focus)

About Swift

Swift builds checkout, payments, shipping, and fulfillment products for e-commerce brands in India. We help sellers manage orders, track deliveries, and reconcile cash-on-delivery payments and returns.

About the role

You’ll build AI-powered features and workflow automations for Swift’s existing products and internal tools. Most of your development work will be in React and TypeScript, building the interfaces that customers and operations teams use. You’ll also work in Java to extend backend services and connect AI workflows to the rest of the product.

You’ll own features from defining the problem through deployment and iteration. That includes improving existing product flows and building standalone tools or web apps when a workflow needs one.

What you’ll do

• Build and maintain React and TypeScript interfaces for AI-powered features, including ways for users to review outputs, correct errors, and retry failed steps.
• Automate repetitive workflows by connecting internal tools, APIs, and data sources with large language models (LLMs). Use retrieval-augmented generation (RAG) or agent workflows where they fit the problem.
• Extend Java services and APIs, work with MongoDB, and troubleshoot issues across the frontend and backend.
• Evaluate AI output on representative cases and monitor quality, latency, cost, and failures in production.
• Work with product and operations teams to identify workflows worth automating. Use ChatGPT, Codex, Claude, and Claude Code to explore solutions, prototype, write code, and test changes. Review and validate the output before shipping.

What you’ll bring

• 2+ years of product engineering experience and ownership of features from design through production.
• Strong React and TypeScript skills, including component design, rendering, asynchronous data flows, and frontend debugging.
• Hands-on Java experience building or maintaining backend services and APIs, plus familiarity with MongoDB.
• Experience shipping an LLM-powered feature or automation, including integrating model APIs, iterating on prompts, and handling unreliable outputs and API failures.
• Hands-on experience using ChatGPT, Codex, Claude, and Claude Code in development workflows.
• Experience testing, deploying, and troubleshooting production web applications.

Nice to have

• Experience with Next.js, Ant Design, or Umi.
• Experience deploying applications on Google Cloud or working with Kubernetes.
• Experience with RAG, agent workflows, or automated LLM evaluations.