Total 3 Junior Executive java developer job vacancies in The Philippines

We are seeking a Junior GenAI Developer to support the design, development, and operation of production-grade Generative AI solutions. The role focuses on Retrieval-Augmented Generation (RAG), internal knowledge platforms, and AI-driven automation use cases. This is not a prompt-writing role; it is a hands-on engineering position focused on building reliable, scalable AI systems.

Responsibilities

• Implement core RAG pipelines including ingestion, chunking, embedding, retrieval, and response generation.
• Develop Python-based services and APIs that integrate Large Language Models (LLMs)
• Assist in building agent-based workflows with tool/function calling
• Work with vector databases and hybrid search mechanisms
• Participate in debugging hallucinations, retrieval failures, and quality issues
• Write clean, testable, and maintainable code
• Collaborate with senior engineers to move GenAI POCs into production

We are seeking a Junior GenAI Developer to support the design, development, and operation of production-grade Generative AI solutions. The role focuses on Retrieval-Augmented Generation (RAG), internal knowledge platforms, and AI-driven automation use cases. This is not a prompt-writing role; it is a hands-on engineering position focused on building reliable, scalable AI systems.

Responsibilities

• Implement core RAG pipelines including ingestion, chunking, embedding, retrieval, and response generation.
• Develop Python-based services and APIs that integrate Large Language Models (LLMs)
• Assist in building agent-based workflows with tool/function calling
• Work with vector databases and hybrid search mechanisms
• Participate in debugging hallucinations, retrieval failures, and quality issues
• Write clean, testable, and maintainable code
• Collaborate with senior engineers to move GenAI POCs into production

We are seeking a Junior GenAI Developer to support the design, development, and operation of production-grade Generative AI solutions. The role focuses on Retrieval-Augmented Generation (RAG), internal knowledge platforms, and AI-driven automation use cases. This is not a prompt-writing role; it is a hands-on engineering position focused on building reliable, scalable AI systems.

Responsibilities

• Implement core RAG pipelines including ingestion, chunking, embedding, retrieval, and response generation.
• Develop Python-based services and APIs that integrate Large Language Models (LLMs)
• Assist in building agent-based workflows with tool/function calling
• Work with vector databases and hybrid search mechanisms
• Participate in debugging hallucinations, retrieval failures, and quality issues
• Write clean, testable, and maintainable code
• Collaborate with senior engineers to move GenAI POCs into production