AI Engineer: LLMs, RAG & Vector Search

Our Clients; Philippines; On-site; PHP 1,200,000 - 1,800,000; Full time

Job summary

Our Clients is seeking an AI Developer to design and deploy enterprise AI solutions using Large Language Models (LLMs), RAG, and ML. The role focuses on building intelligent applications for automation, anomaly detection, and operational efficiency while aligning with AI governance and Responsible AI practices.

You will implement end-to-end AI workflows, optimize retrieval pipelines, and collaborate with cross-functional teams to deliver production-ready solutions that integrate with existing

Qualifications

• Hands-on experience building AI-powered solutions in production.
• Strong knowledge of LLMs, transformer architectures, and prompt engineering.
• Experience with RAG architectures and vector/semantic search.
• Proficiency in Python and ML libraries for data prep and modeling.

Responsibilities

• Design and develop AI-powered solutions using LLMs for automation and incident analysis.
• Build ML models to detect anomalies in operational data.
• Integrate AI into enterprise systems for monitoring and automation.
• Develop and optimize RAG pipelines and embedding generation.
• Configure vector databases and ensure fast, contextual retrieval.
• Collaborate with stakeholders to validate AI solutions and improve models.
• Ensure Responsible AI governance, security, and proper documentation.

Skills

Python

AI governance

Problem solving

Cross-functional collaboration

Communication

Tools

LangChain

LlamaIndex

Vector databases

ML frameworks

Job description

Our Clients is seeking an AI Developer to design and deploy enterprise AI solutions using Large Language Models (LLMs), RAG, and ML. The role focuses on building intelligent applications for automation, anomaly detection, and operational efficiency while aligning with AI governance and Responsible AI practices.

You will implement end-to-end AI workflows, optimize retrieval pipelines, and collaborate with cross-functional teams to deliver production-ready solutions that integrate with existing