Remote Autonomous AI Agent Engineer

Berry Virtual; Philippines; Remote; PHP 3,717,000 - 5,576,000; Full time

Benefits offered by this job

Permanent remote work

USD pay

Internet allowance

PH HMO insurance

US holidays

Paid vacation and sick leaves

Job summary

Berry Virtual is seeking an experienced AI/ML engineer to design, build, and manage software applications end-to-end, with emphasis on deploying production-grade autonomous AI agents.

You will architect RAG systems on vector databases, integrate LLMs via API, enforce Model Context Protocol governance, optimize inference costs, and collaborate with developers, UX designers, and business analysts to ship robust AI solutions.

Qualifications

• 4+ years in AI/ML engineering or advanced data science.
• Experience shipping autonomous AI agents into production.
• Strong grounding in context engineering.
• Hands-on with LangChain, LangGraph, CrewAI, AutoGPT.
• Experience building RAG systems on vector databases.
• Strong Python skills plus AI/ML libraries (OpenAI, Hugging Face, Azure AI).
• Experience wiring LLMs into applications via API.
• Familiar with AI governance and model lifecycle management.

Responsibilities

• Research, design, develop, and manage software applications end-to-end.
• Build and deploy production-grade autonomous AI agents.
• 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 to enable secure data access for agents.
• Own AI governance, model lifecycle management, and evaluation of deployed agents.
• Apply AI safety controls: guardrails, content filtering, and risk mitigation.
• Collaborate cross-functionally with developers, UX designers, and business/systems analysts.
• Continuously optimize LLM performance, inference cost, and token usage.

Skills

Autonomous AI agents

Context engineering

Python programming

LLM API integration

RAG architectures

Vector databases

AI governance

Safety tooling

Cross-functional collaboration

Production deployment

Tools

LangChain

LangGraph

CrewAI

AutoGPT

Job description

Berry Virtual is seeking an experienced AI/ML engineer to design, build, and manage software applications end-to-end, with emphasis on deploying production-grade autonomous AI agents.

You will architect RAG systems on vector databases, integrate LLMs via API, enforce Model Context Protocol governance, optimize inference costs, and collaborate with developers, UX designers, and business analysts to ship robust AI solutions.