Senior RAG Engineer - Enterprise AI Knowledge Platform

Onemci; Philippines; On-site; PHP 2,400,000 - 3,600,000; Full time

Job summary

Onemci is seeking a Senior RAG Engineer to design and optimize Retrieval-Augmented Generation platforms powering AI solutions for enterprise needs. You will lead architecture, ingestion, indexing, and best-practice standards to ensure scalable, secure knowledge access.

You will drive improvements in vector search, embedding techniques, and information retrieval while mentoring engineers and collaborating with product teams to deploy AI-enabled workflows across the organization.

Qualifications

• Bachelor's Degree in Computer Science, Information Systems, Data Science, Artificial Intelligence, Software Engineering, or related field.
• Minimum 5 years of software engineering experience.
• Experience designing and implementing enterprise-scale Retrieval-Augmented Generation solutions.
• Strong proficiency in Python and backend development.
• Extensive knowledge of embeddings, semantic search, vector databases, and information retrieval techniques.
• Experience building scalable retrieval, indexing, and knowledge management systems.
• Experience integrating RAG architectures with Large Language Models.
• Knowledge of cloud infrastructure and distributed computing environments.
• Experience leading technical projects and mentoring engineering teams.
• Strong troubleshooting and performance optimization skills.
• Excellent communication and stakeholder management capabilities.
• Experience working within complex enterprise technology environments.

Responsibilities

• Lead retrieval architecture and platform design for enterprise-grade knowledge systems.
• Design scalable Retrieval-Augmented Generation architectures.
• Develop enterprise knowledge ingestion and indexing frameworks.
• Establish retrieval standards and best practices.
• Architect solutions that support AI-powered knowledge access.
• Drive improvements in retrieval quality and performance.
• Optimize vector search and semantic retrieval capabilities.
• Improve relevance, accuracy, and response quality.
• Design evaluation methodologies and testing frameworks.
• Support knowledge lifecycle management processes.
• Enable seamless integration of retrieval systems with AI applications.
• Collaborate with AI engineers and product teams.
• Integrate retrieval systems with LLMs and AI workflows.
• Support enterprise-wide AI initiatives and deployments.
• Develop scalable APIs and retrieval services.
• Maintain regulatory compliance and security controls.
• Monitor platform performance and availability.
• Conduct root cause analysis and issue resolution activities.
• Maintain technical documentation and procedures.
• Provide technical leadership and mentor engineers.
• Evaluate emerging retrieval technologies and frameworks.
• Contribute to AI strategy and innovation initiatives.

Skills

Python

Backend development

Embeddings

Semantic search

Vector databases

Information retrieval

Mentoring engineers

Troubleshooting

Communication

Education

Bachelor's Degree in CS / related field

Master's Degree (nice to have)

Tools

Pinecone

Weaviate

Chroma

Milvus

LangChain

LlamaIndex

Haystack

Job description

Onemci is seeking a Senior RAG Engineer to design and optimize Retrieval-Augmented Generation platforms powering AI solutions for enterprise needs. You will lead architecture, ingestion, indexing, and best-practice standards to ensure scalable, secure knowledge access.

You will drive improvements in vector search, embedding techniques, and information retrieval while mentoring engineers and collaborating with product teams to deploy AI-enabled workflows across the organization.