Software Engineer - AI Focused

Rizal Commercial Banking Corporation (RCBC); Pateros; On-site; PHP 1,200,000 - 1,800,000; Full time

Job summary

RCBC is seeking an Analytics Engineer to design, develop, and maintain LLM-powered applications that integrate with core banking systems.

You will join a team focusing on agentic orchestration, RAG, and prompt engineering, delivering scalable front-end interfaces and robust evaluation pipelines.

Qualifications

• Degree in Mathematics, Statistics, Computer Science, MIS, or related field.
• Experience building LLM-powered applications (production or strong POC).
• 4-5 years of total Software Engineering experience, with at least 2 years in LLM-based applications.

Responsibilities

• Lead the solution architecture and development of LLM-integrated banking apps.
• Develop front-end UI exposing Agentic applications to workforce.
• Ensure reliability, usability, and low-latency performance in production.
• Engineer robust LLM evaluation frameworks and safeguard against hallucinations.
• Define engineering best practices (CI/CD, unit testing, code reviews) and share with data engineers.
• Develop and optimize full-stack interfaces that expose Agentic apps with high availability.
• Conduct research into emerging Agentic tech and prototype within legacy bank infra.

Skills

Python

SQL

LLM/AI

CI/CD

ML Ops

Vector DB

Cloud (AWS/GCP)

Education

Bachelor's degree in Mathematics/Statistics/CS/MIS or related field

Tools

Milvus

Pinecone

AWS

GCP

Job description

Function

Analytics

Job Summary

• Responsible for designing, developing, and maintaining LLM-powered applications including application integration to key banking systems.
• The engineer is expected to be knowledgeable of current software packages related to the development of LLM-powered applications and is up-to-date with up and coming advances in the field. The engineer is expected to be well-verse with software development life cycle including requirements gathering, model development and integration, testing, and deployment.

How will you contribute?

• Lead the solution architecture and development of simple to complex applications that integrate Large Language Models (LLM) with banking core systems via advanced patterns (e.g., Agentic Orchestration, Multi-Agent Systems, RAG, and MCP integration, Prompt Engineering, etc. )
• Develop front-end web-based user interfaces that will expose Agentic applications to the workforce.
• Ensure reliability, usability, and responsiveness of the deployed application in the productionenvironment.
• Engineer robust LLM Evaluation frameworks and maintain accuracy standards and implement controls that safeguards the application from LLM-based hallucinations.
• Define engineering best practices (CI/CD, Unit Testing for AI, Code Reviews) and cascade design patterns and techniques to data engineers to foster an environment of knowledge
• sharing and co-development
• Develop and optimize full-stack interfaces (Front-end and API layers) that expose Agentic applications to the workforce, ensuring high availability and low latency.
• Conduct deep-dive research into emerging Agentic technologies and prototype their application within the bank's legacy infrastructure

What will make you successful?

• Degree in Mathematics, Statistics, Computer Science, Management Information Systems, or related field
• Experience building LLM-powered applications (production or strong POC).
• 4-5 years of total Software Engineering experience, with at least 2 years experience in developing, implementing, and deploying LLM-based applications
• Strong programming skills in Python. Proficiency in SQL for data transformation and analytics.
• Deep understanding of Vector Database architecture (e.g., Milvus, Pinecone) and advanced RAG retrieval strategies.
• Experience setting up LLM Ops / ML Ops pipelines (CI/CD, Evaluation, Monitoring)
• Familiarity with cloud technologies and deployment patterns (AWS and/or Google is preferred).
• Certificates and training in the field is highly desirable (e.g. Google AI certificate, Kaggle, OpenAI etc.)
• #LI-NC1