Chief Technology Officer
Compensation: ₹3L – ₹4L • 0.5% – 0.5%
This is not a managerial CTO role. This is a builder CTO role.
You will:
Architect the system Write and review critical code Lead AI implementation Design ERP strategy Hire and mentor engineers Make hard technical decisions early You are expected to stay close to the codebase while building the engineering organization.
Core Mandate
You will own and evolve:
Consumer & internal mobile platforms AI companion systems Kitchen AI systems ERPNext-based operations backbone Shared backend, data, and AI infrastructure Engineering culture and hiring
What You Will Build
1. AI Systems
Current AI ecosystem includes:
Custom Agent Pipelines OpenAI / Cohere (via OpenRouter) Langfuse (evaluation & observability) mem0 (memory layer) Redis / BullMQ for async orchestration
You will:
Architect agent systems (memory, tools, orchestration) Define evaluation frameworks Build reliability and observability Ship AI features that create measurable outcomes Decide where deterministic systems outperform AI We are not building demos. We are building production AI.
2. ERP & Operations Backbone
ERP Stack:
Frappe Framework (Python) MariaDB Redis Vue 3, React WhatsApp integrations
You will:
Architect ERPNext customization without breaking upgrades Align ERP workflows with real kitchen operations Integrate ERP cleanly with AI and product systems Build for multi-country expansion
3. Backend & Platform Architecture
Product Stack:
Node.js, TypeScript, Express PostgreSQL, Prisma Redis, BullMQ React, TypeScript, shadcn/ui React Native (mobile)
You will:
Define service boundaries Establish API contracts Maintain system clarity across products Prevent technical debt from accumulating early
4. Kitchen & Real-World Systems
You will oversee:
Kitchen apps Ops dashboards Big Boss AI monitoring Systems must work in real production kitchens — not just in staging environments.
You must be comfortable building technology that interacts with messy physical environments.
What Makes This CTO Different
You are:
Writing and reviewing code regularly Designing architecture personally Interviewing every senior engineer Deciding build vs buy Owning the AI roadmap
You are not:
Just managing managers Detached from the codebase Focused only on slide decks What Success Looks Like (12 Months)
AI companion delivers measurable insights, not generic chat Big Boss operates reliably in live kitchens ERP scales without becoming brittle Engineering velocity increases without chaos Architecture supports multi-region expansion
Ideal Profile
Must Have:
10–15+ years building complex systems Led multi-product engineering teams Strong backend engineering background (Node.js and/or Python) Built AI systems beyond simple API integrations Experience with ERP or operations-heavy systems Strong product judgment
Strong Plus:
Agentic AI architecture experience Healthtech, foodtech, logistics, or supply-chain domain Video AI or real-time systems exposure Prior startup scaling experience
Why This Role Is Critical
At this stage, technology defines whether:
Dieture becomes a scalable Foodcare platform or It becomes a collection of disconnected systems The CTO will define the company’s technical DNA for the next 5–7 years.