Azure AI Engineer: LLMs, RAG Pipelines & Production
An AI/ML engineer role based in Taguig (Manila) focused on designing, building, and deploying production-grade AI pipelines on Azure. Day to day the engineer works with LLMs, prompt flows, and RAG solutions, integrating AI into applications via APIs and cloud-native architecture while following secure-by-design and Responsible AI practices.
- Compensation
- Not disclosed
- Location
- Taguig, Philippines
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Ai engineering
- Posted
Skills
Must have
- Experience as an AI/ML Engineer designing, building, and deploying models and end-to-end AI pipelines for production environments
- Azure AI engineering (LLMs, RAG pipelines)
- Integrating AI capabilities into applications via APIs and cloud-native architectures
- Developing prompt flows
- Developing RAG solutions
- Applying secure-by-design practices
- Upholding Responsible AI standards
- Collaboration with Data, Software, and Product teams
Full description
Lewis Personnel Management is seeking an experienced AI/ML Engineer to design, build, and deploy models and end-to-end AI pipelines for production environments.
You will integrate AI capabilities into applications via APIs and cloud-native architectures, develop prompt flows, RAG solutions, and ensure secure-by-design practices while upholding Responsible AI standards. Collaboration with Data, Software, and Product teams is essential in a fast-paced Manila-based setting.