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AI Agent Developer
About the role
Build and deploy production AI agents for Berry Virtual from the Philippines. The role owns RAG, multi-agent workflows, LLM APIs, and MCP so agents can run with governed data access.
What you'll do
- Build and deploy production-grade autonomous AI agents (not just prototypes)
- Design and implement RAG architectures backed by vector databases
- Develop and optimize multi-agent workflows and agentic systems
- Integrate large language models via API — OpenAI, Hugging Face, Azure AI
- Implement Model Context Protocol (MCP) to enable secure, governed data access for agents
Requirements
- 4+ years in AI/ML engineering or advanced data science
- Demonstrated experience shipping autonomous AI agents into production, not just building demos
- Hands-on experience with agent frameworks: LangChain, LangGraph, CrewAI, AutoGPT
- Experience building RAG systems on vector databases
- Strong Python skills plus fluency with AI/ML libraries (OpenAI, Hugging Face, Azure AI)
About Berry Virtual
Berry Virtual staffs specialized remote teams. This listing is on the first-party Workable board, Philippines.
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