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Mid-level GenAI role, metro location, and a generic Software Engineer title create moderate applicant competition.
ML/GenAI engineering skills (LLMs, RAG, Python, vector DBs) are broadly transferable across industries.
Explicit 3+ years requirement plus domain-specific GenAI, cloud, and tech stack requirements raise shortlisting rigor.
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Deliver end-to-end production-grade AI Assistants, GenAI, and automation solutions focusing on Python microservices, APIs, and LLM/RAG/agent workflows.
Translate product requirements into secure, scalable, observable, and cost-efficient AI services within the Food APAC Digital Technology and Data team.
Own full solution lifecycle: prototype, deploy, monitor, support, and continuously improve AI applications and automation solutions.
3+ years of experience building AI-based software solutions or data platforms.
2+ years working with cloud-native AI/ML or GenAI systems on Azure, AWS, or GCP, or 2+ years software development experience.
Technical skills: Python, APIs, cloud platforms, CI/CD, containerization, RAG, vector databases, monitoring tools.
Experience delivering AI Assistants, AI Agents, and workflow automation solutions using ChatGPT-based copilots, Copilot Studio agents, Power Automate, or similar platforms preferred.
Experienced individual contributor capable of solving complex AI and automation technical problems with limited supervision.
Comfortable with full product lifecycle from experimentation to production and operational responsibility including troubleshooting and performance optimization.
Skilled in cross-functional Agile environments translating requirements into compliant, scalable AI solutions focused on operational excellence and cost efficiency.