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Job Description & How to Apply Below
The core responsibilities for the job include the following:
You will have technical ownership across the following:- Consumer and Internal Mobile Apps.
- ERPNext-based ERP and Operations Platform.
- AI Companion for Customer App.
- Kitchen Apps, Ops Modules.
- Shared backend, data, and AI infrastructure across all products.
- Own the overall system architecture across mobile, ERP, AI, kitchen, and ops platforms.
- Design clean boundaries between ERP systems, AI systems, product backends, and mobile and web frontends.
- Prevent architectural drift as multiple products evolve in parallel.
- Make pragmatic decisions balancing speed, scalability, cost, and maintainability.
- Ensure systems are production-grade, observable, and resilient.
- Design agent architectures (memory, tools, orchestration, failure handling).
- Ensure AI systems are explainable, observable, and debuggable.
- Decide where AI adds value and where deterministic systems are better.
- Ship AI features that deliver measurable user, health, or operational impact.
- Avoid AI demos that focus on production reliability and real-world usage.
- Customize ERPNext while preserving up gradability.
- Design ERP workflows that reflect actual kitchen and operations realities.
- Integrate ERP cleanly with AI systems and product platforms.
- Treat ERP as a core product, not internal plumbing.
- Build systems that improve consistency, hygiene, speed, and compliance.
- Design reliable data flows from kitchen ERP AI reporting.
- Set engineering standards, patterns, and best practices.
- Review critical PRs and unblock teams when needed.
- Ensure APIs, data models, and frontend contracts remain clean.
- Maintain delivery velocity without accumulating hidden technical debt.
- Own architecture, API contracts, and backend integrations for mobile apps.
- Ensure mobile apps are first‑class citizens in platform design.
- Enable React Native teams to ship reliably and fast.
- Ensure AI and ops features translate cleanly into mobile UX.
- Challenge unclear or low-impact requirements.
- Translate business goals into system design.
- Make trade‑offs explicit and visible.
- Align engineering decisions with customer and operational outcomes.
- Lead and mentor engineers across backend, frontend, AI, ERP, and ops.
- Coordinate delivery across multiple concurrent products.
- Create accountability without micromanagement.
- Build a culture of ownership, clarity, and documentation.
- 4‑6 years building and scaling real‑world products.
- Proven experience as a tech lead/engineering lead across multiple products.
- Strong backend foundation (Node.js/Type Script and/or Python systems).
- Hands‑on experience with production AI systems (not just API calls).
- Experience working with ERP or ops‑heavy platforms.
- Clear product mindset and strong decision‑making ability.
- Backend:
Node.js, Type Script, Express. - Database:
Postgre
SQL, Prisma. - Queues and Cache:
Redis, BullMQ. - Frontend:
React, Type Script, shadcn/ui, React Query.
- Agentic AI systems experience.
- Health, food tech, logistics, or operations‑heavy startups.
- Video AI, wearables, or real‑time systems exposure.
- Startup scaling experience.
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