Job Purpose and Impact
Experienced qualified individual contributor who works independently on end-to-end delivery of production-grade AI Assistants, GenAI applications, data platforms, and automation solutions. Solves difficult, multi-component technical problems with limited supervision and may provide peer review or technical coaching within the job area.
JOB SUMMARY
The Software Engineer will design, build, test, deploy, and support AI Assistants, AI Agents, and workflow automation solutions using ChatGPT-based copilots, Copilot Studio agents, Power Automate, and cloud-native services. Deliverables may span Python microservices, APIs and integration services, retrieval and vector-search pipelines, LLM/RAG/agent workflows, operational tooling, and user-facing experiences.
Working within the Food APAC Digital Technology and Data team, this role will translate product requirements into secure, scalable, observable, and cost-efficient services or agents. The engineer will contribute across the full solution lifecycle—from experimentation and prototyping through production deployment,
monitoring, support, and continuous improvement.
Key Accountabilities
Design, Development & Support
Build reusable Agentic AI workflows and automate business processes.
Develop scalable Python microservices for LLM, RAG, and AI agent solutions.
Implement prompt engineering, vector search, retrieval pipelines, grounding, and caching.
Optimize AI solution performance, scalability, and cost.
Develop, test, debug, and maintain AI applications and services.
Create and maintain technical documentation and deployment guides.
Operational Excellence
Develop runbooks, monitoring dashboards, alerts, and incident-response procedures.
Troubleshoot and resolve production issues to ensure reliability and uptime.
Collaboration & Delivery
Partner with cross-functional teams to design and deliver business solutions.
Work in Agile environments with end-to-end ownership of solution delivery.
📌 Software Engineer (India)
🏢 Cargill
📍 India