Senior Backend Engineer-AI Agent

About Rize

Rize (rize.farm) is a leading Agri‑Tech startup building solutions that make rice cultivation more sustainable while improving farmer livelihoods in Asia. Formed through a joint venture between Temasek, Wavemaker Impact, Breakthrough Energy Ventures, and GenZero, we manage 1,800+ farmers across 1,500+ hectares in Indonesia and Vietnam.

We’re building the world’s first AI‑powered ecosystem for sustainable rice cultivation — transitioning from human‑managed operations to AI‑driven workforce automation over the next 2–3 years.

What are we building

We are developing a platform which will help our field operations team to effectively manage their task, capture cultivation logs from million plus hectares of paddy fields, effectively manage the supply chain of agri-inputs and aggregate third party services required during the lifecycle of paddy fields.

The Current tech stack includes React Native for mobile applications, ReactJs for web app powered by Rest APIs developed with JAVA using Spring and Hibernate.

What You will Build

You'll create the first autonomous agent for our workforce management platform - a scheduling agent that helps 50+ field agronomists coordinate sustainable rice farming operations across 7,000 hectares in Indonesia and Vietnam.

What are we looking for:

• 5+ years of backend engineering experience (Java / Spring preferred; strong Python or Node.js engineers are welcome)
• Hands-on experience building LLM powered applications using OpenAI, Anthropic, or similar APIs
• Strong prompt engineering skills, especially for structured outputs (JSON schemas, function calling, tool use)
• Experience with event-driven architectures: webhooks, message queues, async/background processing
• Comfortable operating in early-stage environments- ambiguity, speed, and ownership are part of the job (We currently support ~1,800 farmers and are building toward 10M)

Good to know

• Yes, you will go out into the field and get your feet dirty with some rice farming
• Everyone is generally remote so you need to be able to communicate really well and use many types of communication mediums including chat, call, video, etc.
• Experience in AgTech or field-operations / on-ground workforce software
• Exposure to geospatial data (GPS, mapping, routing or optimisation problems)
• Experience building multilingual LLM applications, especially Indonesian and/or Vietnamese

What You will Own

• Design and build the Agent Control Plane (execution framework, decision logging, override system)
• Implement agents with LLM-based decision making
• Create APIs for Territory Managers to review/approve agent proposals
• Work directly with product lead on prompt engineering