Mobile–AI Integration Engineer

Description

You will also be working at a formative stage of the agri-tech ecosystem, where core platforms, standards, and practices are still being shaped. This is an opportunity to help define how technology supports agriculture at scale, by building foundational systems others will depend on.

You will build systems that operate where assumptions break — unreliable connectivity, incomplete data, real economic risk, and users who depend on predictable behaviour and clear outcomes. The software you ship influences real decisions made by farmers, insurers, and institutions, not abstract metrics.

Own how AI outputs are surfaced, constrained, and trusted within the mobile application. This role ensures that intelligence improves decisions without introducing unsafe automation or false confidence.

• Prevent autonomous AI-driven actions without explicit user confirmation.
• Ensure predictable behaviour when AI services are unavailable.
• Implement confidence thresholds and explicit refusal or no-advice states.
• Enforce deterministic rules that override probabilistic outputs when required.
• Handle latency, offline conditions, and dependency failures gracefully.
• Ensure consistency between AI output, explanation, and user action.
• Prevent raw or ambiguous outputs from being misinterpreted.
• Translate AI outputs into user-visible actions and recommendations.

Requirements

AI Output Integration

• API-based inference integrations
• On-device or remote inference systems (as currently used)

Benefits

Through KhetPe, our AgTech platform, we place accurate crop intelligence directly into farmers’ hands, covering hyperlocal weather, irrigation advisory, yield prediction, and market linkage. Through BhoomiSure, our InsurTech platform, we enable automated, satellite-driven crop and disaster insurance with fast, dispute-free claim settlement.

Training + Development

Interview process

Visa Sponsorship

Security clearance