AI Fullstack Founding Engineer

About Bazak: The Operating System for AI Commerce

Bazak is building the agentic AI infrastructure layer for SMBs and mid-market Direct-to-Consumer (D2C) businesses.As consumer behavior hits a point of no return—with 60% of shoppers now using AI to make buying decisions —traditional, legacy storefronts are losing visibility, influence, and conversion power. Customer acquisition channels are being structurally disrupted by AI-native search engines like ChatGPT, Perplexity, and Google AI Overviews.We help brands adapt by transforming their existing sites and APIs into AI-native commerce infrastructure. We deploy a fully managed Agentic Experience (AX) on top of existing websites that is production-ready within days, requiring zero client-side engineering or API development. 

What We Do:

• On-Site Agentic Shopping: We deploy an AI copilot that closes deals directly on the brand's legacy website by understanding intent, guiding discovery, and adapting to the user in real time.
• AI Ecosystem Integration: We plug the brand’s live inventory directly into major AI providers using advanced agentic protocols (such as MCP, UCP, and ACP). This ensures the brand is natively accessible and purchasable directly within external AI interfaces.
• Agnostic Infrastructure: Our platform is entirely vendor-agnostic (Shopify, proprietary systems, booking engines) and model-agnostic (Claude, GPT, Gemini), eliminating lock-in risk for our customers.

The Team:

Our founding team is AI-native and technically deep, bringing decades of combined engineering and product experience. We have been building side-by-side since July 2025 , and we are looking for driven individuals who want to build the infrastructure for the new Agent-to-Agent economy from the ground up.

Role Description

You will design, develop and maintain high‑quality front‑end and back‑end components for our AI‑commerce platform. This role combines hands‑on coding with influence over architecture and best practices; help define our technical vision, and bring new features to life quickly and reliably.

Responsibilities

• Build and ship product features end‑to‑end: from requirements and design through implementation, testing, deployment and iteration.
• Develop robust front‑end experiences with React and TypeScript, ensuring responsive, accessible UIs.
• Implement back‑end services and APIs using Node.js & Python and related frameworks, with an emphasis on performance, data modelling and integrations.
• Define and refine engineering processes: establish deployment pipelines, testing standards and observability practices without specifying tools.
• Collaborate with founders and leverage AI coding tools to accelerate development.
• Uphold high standards through thoughtful code reviews, mentorship and documentation.

Qualifications

Must‑have

• 4+ years of professional software development experience.
• Strong TypeScript/JavaScript skills and production experience with Node.js and React.
• Experience building AI‑agent workflows / conversational (tool calling, orchestration).
• Demonstrated ability to deliver features independently and take ownership of end‑to‑end product workflows.
• Solid understanding of backend development principles, including API design, data modelling and performance considerations.
• Commitment to high engineering standards: automated testing, code reviews and maintainable code.

Nice‑to‑have/Bonus

• Experience with GCP, AWS or another cloud platform.
• Knowledge of LangGraph, Vercel AI or other frameworks for AI Agents, Familiarity with the KB/RAG frameworks.
• Knowledge of Supabase/Postgres or similar database technologies.
• Familiarity with Kubernetes, Terraform or other infrastructure‑as‑code tools.
• Exposure to observability and analytics tools.
• Some Python experience.
• Knowledge of the MCP ecosystem and agent orchestration.
• Previous startup/founding engineer experience, especially 0→1.

Why Join Us?

• Ownership & Impact: Influence product, architecture and culture from day one.
• Equity: Large stock options as part of the early team.
• Innovation: Shape the future of AI‑driven commerce. 
• Cutting Edge Experience: Hands-on with the latest AI infrastructure technologies.
• We are looking for team players yet flexible - hybrid model of 3-4 days of work from the office, 1-2 from home.