Full Stack Engineer (Core)

About the role

Vendra is building the AI-native operating system for manufacturing procurement and supply chain. You will be part of the core engineering team at Vendra. This is a high-ownership fullstack role where you will help shape everything from our architecture across multiple connected platforms to the product experiences our customers rely on every day.

What You Will Do

• Take ownership of a real production workflow across our marketplace, supplier portal, internal tools, or AI automation systems.
• Ship improvements used directly by customers, suppliers, or the Vendra team.
• Work directly with Shan, Anish, and the founding team to support our newest product lines.
• Use AI tools like Claude Code aggressively to move faster, prototype faster, and ship higher-quality software with fewer cycles wasted.

Within weeks

• Become responsible for one of our core platforms.
• Suggest, plan, and execute product and engineering improvements.
• Help us design and build the next product in our stack.
• Improve backend systems, APIs, internal tools, and AI workflows that directly impact customers.

Within months

• Help define product and technical vision.
• Build new platforms and products that support our mission.
• Work with us to automate more of the manufacturing procurement lifecycle from RFQ to supplier matching, quoting, ordering, tracking, and fulfillment using Agentic Workflows.

Who You Are

• Have 1+ years of experience building and shipping real products.
• Understand software engineering principles and know when to follow them and when to break past them.
• Be a true fullstack builder capable of moving from React and TypeScript to backend APIs, databases, infrastructure, and AI workflows.
• Use Claude Code, Cursor, or similar AI coding tools and have already changed the way you build because of these tools.
• Be a US Person (Greencard works too).
• Be strong in at least one part of the stack and excited to work across the rest.
• Be comfortable working directly with founders, customers, and suppliers to understand what needs to be built.
• Be excited by AI, automation, marketplaces, infrastructure, and the opportunity to transform a massive offline industry.
• Willing to work in a high-ownership role where your work ships fast and matters immediately.
• Be willing to learn fast and adapt to changing requirements and processes.

Requirements

• Be a US Person (Greencard works too).
• Have strong skills in at least one part of the stack (frontend, backend, APIs, data systems, infrastructure, and AI workflows).
• Be able to take ambiguous product or customer problems and turn them into working software quickly.
• Be comfortable working directly with founders, customers, and suppliers to understand what needs to be built.
• Be excited by the opportunity to transform a massive offline industry.

Our Tech Stack

• Frontend: React, Next.js, TypeScript
• Backend: Node.js, Python
• AI Stack: OpenAI models, Anthropic models, custom fine-tuned models, agentic workflows
• Infrastructure: AWS, Postgres, Redis, S3, MongoDB
• Data: Real-time quote intelligence, supplier availability, historical manufacturing performance, customer and supplier workflow data

How We Work

We plan, push, and ship features many times in a single day. You will not be stuck waiting weeks to see your work matter. At Vendra, the feedback loop is immediate: you build, customers use it, and the product gets better.

Why we started Vendra

Vendra started from a simple realization: the hardest part of building hardware is not just managing suppliers. It is finding the right suppliers in the first place. Before launching this version of Vendra one year ago, we spent six months building productivity tools for hardware teams working with manufacturers. But the deeper we got into the problem, the clearer it became that the real bottleneck was supplier discovery, quoting, and procurement. So we pivoted. Within two weeks of the idea, we launched the first version of Vendra. Apple became our first customer, and we have been growing at lightspeed ever since.