Reporting Line: Chief Technology Officer (CTO)
Key Stakeholders: VP Engineering
Location: India (Remote)
Job Type: Full-time Contractor

About Elife
Elife is the unified API infrastructure behind global mobility and instant delivery across 182 countries. We power Super Apps, FinTechs, neobanks, and ride-hailing ecosystems worldwide — we don't compete with them, we enable them.
Our partners integrate once and serve their users globally. We build and operate the infrastructure. They own the brand and the customer relationship.

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 directly issue dispatch commands in the physical world.

2. Embed & Synergise with Product and Engineering




- Lead a highly specialised AI deployment squad, deeply integrating into existing agile development workflows. Bridge the gap between cutting-edge AI algorithms and traditional backend systems (Java/Go), ensuring smooth AI capability deployment without compromising core system stability.

3. End-to-End Tokenisation of Business Workflows
- Once the foundational AI infrastructure is in place, provide front-line operations teams (customer service, supplier integrations, etc.) with low-code agent-building frameworks. Enable them to build automated pipelines safely and controllably, replacing costly manual operations with highly effective token-based compute.

4. Elevate AI Engineering Culture
- As a core member of the CTO's think tank, lead an internal transformation of engineering culture. Drive adoption of AI-native development practices where LLMs generate entire modules and systems from specifications — moving the team beyond aut

📌 Head of Engineering (Mangalore)
🏢 ELife Transfer
📍 Mangalore