Elife is not just a company operating a cross-border ride-hailing aggregation platform. We are the "digital infrastructure" — the utilities layer — of global mobility.
We provide the underlying cross-border capacity routing protocol for the world's leading super apps (such as Didi, Meituan, Transsion, Alipay). With an ultra-light asset model, we enable these giants to instantly access and fulfill ride-hailing and delivery services across 182 countries in seconds — including India's rapidly expanding mobility and delivery ecosystem.
Your Core Mission: Reconstructing the Central Brain
While the industry is focused on large models, 90% of efforts are superficial — wrapping GPT-like tools around business use cases to automate responses. That is not what we are building.
Your mission is to construct the true "central brain" of Elife.
You will not operate within a marginalized "AI innovation lab." Your battlefield is on the main road: working shoulder-to-shoulder with the VP Engineering, embedding your AI deployment strike team directly into our core agile product and engineering pipeline.
Your single objective: fully integrate large models with Elife's core transaction engine — including personalized agile pricing, global capacity dispatch systems, and core order allocation logic — transforming traditionally hard-coded systems into a fully AI-native and agent-ready architecture.
Execution Focus & Key Responsibilities
1. Architect the Brain (LLM Orchestration Infrastructure)
- Deeply collaborate with the VP Engineering to establish rigorous API contracts and tool-calling/function-calling mechanisms. Open up core backend capabilities to AI systems, enabling agents not only to understand natural language but to natively interact with real-time global GPS data, dynamically adjust pricing, and
📌 Head of Engineering (India)
🏢 ELife Transfer
📍 India
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