AI Product Engineer

Universal Robina Corp; Philippines; On-site; PHP 800,000 - 1,600,000; Full time

Job summary

Universal Robina Corporation is seeking an AI Product Engineer to design and deliver scalable AI solutions, including GenAI workflows and agent-based architectures across platforms and data sources.

Role emphasizes Python, GenAI frameworks, RAG, vector stores, LLMOps, and integration with Databricks/MCP in a cloud-based environment. 3–6 years’ GenAI experience is preferred.

Qualifications

• Experience in end-to-end AI product development from requirements to production.
• Experience with cloud-based AI solutions.
• Proficient in Python and GenAI frameworks (LangChain / LlamaIndex).
• Familiar with Databricks (Mosaic AI) and API integration.
• Strong prompt engineering, evaluation and LLMOps.
• 3–6 years of GenAI/agentic work in production or advanced prototypes.
• CS / AI / ML or equivalent degree.

Responsibilities

• Build GenAI & agentic solutions - RAG pipelines, LLM apps and multi-agent workflows.
• Develop on 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 the governance framework.
• Ship the headline use cases: Intelligent Order Tool, AI-powered Command Center 2.0, knowledge/analytics agents.

Job description

AI Product Engineer

Grow Beyond UR Job with URC!

Universal Robina Corporation is looking for an AI Product Engineer. Data Scientist with AI specialization drives the design and delivery of advanced intelligent solutions that transform how the business operates and makes decisions. This role focuses on developing scalable, enterprise-grade AI systems, leveraging large language models, retrieval augmented approaches, and agent-based architectures, while ensuring seamless integration across platforms and data sources.

What are the Job 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.

What are the Qualifications

• Experience in end-to-end development of AI products, from requirements gathering until deployment to production.
• With experience in Cloude 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
• Prompt engineering, evaluation & LLMOps; SQL
• 3–6 yrs experience; demonstrated GenAI / agentic work in production or advanced prototypes
• CS / AI / ML or equivalent

NOTE: Universal Robina Corporation does not collect fees throughout our recruitment process and does not collaborate with any travel agency or third party to provide accommodation or other services to job applicants. All URC recruitment processes happen in our respective offices or plants. Recruitment processes are only carried out by our Talent Acquisition teams with an official corporate email address.