**Job Purpose and Impact** + Experienced professional 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-effective 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. + Ensure compliance with architecture, security, governance, privacy, and Responsible AI standards. **Technology Exposure** + Experience with Python, APIs, cloud platforms, CI/CD, containerization, RAG, vector databases, and monitoring tools. + Exposure to Salesforce, Service Cloud, CPQ, Salesloft, ChatGPT, Copilot Studio, Power Automate, or similar platforms is preferred. **Qualifications** + Minimum requirement of 3 years of experience building AI-based software solutions or data platforms.- Typically reflects 3 years or more of relevant experience, including 2+ years working with cloud-native AI/ML or GenAI systems on Azure, AWS, or GCP, or 2+ years of software development experience.

📌 Software Engineer - Food (Bengaluru)
🏢 Cargill
📍 Bengaluru