GenAI Product Engineer: Enterprise AI & RAG Solutions

Universal Robina Corporation; Quezon City; On-site; PHP 900,000 - 1,500,000; Full time

Job summary

Universal Robina Corporation is seeking an AI Product Engineer to design and deliver scalable AI systems using GenAI, LLMs, and RAG pipelines. You will work on the central agentic platform, integrate data sources, and own prompt engineering for enterprise-grade solutions.

The role requires 3–6 years of production or prototype GenAI experience, strong Python skills, and familiarity with LangChain, LlamaIndex, and vector databases. Join URC to drive next-gen AI initiatives across platforms.

Qualifications

• Experience in end-to-end development of AI products from requirements gathering to deployment.
• Proficiency with Python and GenAI frameworks (LangChain / LlamaIndex or similar).
• Experience with Databricks (Mosaic AI / model serving), API integration, the AI gateway, MCP.
• 3-6 yrs experience; GenAI / agentic work in production or advanced prototypes.

Responsibilities

• Build GenAI & agentic solutions—RAG pipelines, LLM applications and multi-agent workflows.
• Develop on the central agentic platform (Databricks) through the AI gateway; integrate tools and data via MCP.
• Build & curate vector stores and retrieval; own prompt engineering and evaluation.
• Implement LLMOps—evals, guardrails, token/cost monitoring—within governance.
• Ship headline use cases: Intelligent Order Tool, AI-powered Command Center 2.0, knowledge/analytics agents.

Skills

Python

LangChain

LlamaIndex

RAG

Vector databases

Databricks

API integration

Education

CS / AI / ML or equivalent

Tools

Databricks Mosaic AI

Model serving

Job description

Universal Robina Corporation is seeking an AI Product Engineer to design and deliver scalable AI systems using GenAI, LLMs, and RAG pipelines. You will work on the central agentic platform, integrate data sources, and own prompt engineering for enterprise-grade solutions.

The role requires 3–6 years of production or prototype GenAI experience, strong Python skills, and familiarity with LangChain, LlamaIndex, and vector databases. Join URC to drive next-gen AI initiatives across platforms.