GenAI Product Engineer | LLMs, RAG & Multi-Agent

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

Job summary

Universal Robina Corporation in Quezon City is seeking an AI Product Engineer. You will drive end-to-end development of scalable GenAI solutions, integrating LLMs, RAG pipelines, and agent-based workflows across enterprise platforms.

You will work on Databricks-based platforms via AI gateway, curate vector stores, and implement MLOps practices, collaborating with cross-functional teams to deliver the 2027-2030 roadmap.

Qualifications

• Experience in end-to-end development of AI products, from requirements gathering until deployment to production.
• With experience in Cloud-based AI Solutions.
• Python; LLM / GenAI frameworks (LangChain / LlamaIndex or similar); RAG; vector databases
• Databricks (Mosaic AI / model serving), API integration, the AI gateway, MCP
• 3-6 yrs experience; demonstrated GenAI / agentic work in production or advanced prototypes
• CS / AI / ML or equivalent

Responsibilities

• Build GenAI & agentic solutions - RAG pipelines, LLM applications and multi-agent workflows - the core of the 2027-30 roadmap.
• 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 systematic evaluation.
• Implement LLMOps - evals, guardrails, token/cost monitoring - within the governance framework.
• Ship the headline use cases: Intelligent Order Tool, AI-powered Command Center 2.0, knowledge/analytics agents.

Skills

End-to-end AI product development

Cloud-based AI solutions

Python

LLM / GenAI frameworks

LangChain

LlamaIndex

RAG

Vector databases

Databricks

API integration

Education

CS / AI / ML or equivalent

Tools

Databricks Mosaic AI

Mosaic AI / model serving

LangChain

LlamaIndex

Job description

Universal Robina Corporation in Quezon City is seeking an AI Product Engineer. You will drive end-to-end development of scalable GenAI solutions, integrating LLMs, RAG pipelines, and agent-based workflows across enterprise platforms.

You will work on Databricks-based platforms via AI gateway, curate vector stores, and implement MLOps practices, collaborating with cross-functional teams to deliver the 2027-2030 roadmap.