AI Agent Developer

Key Responsibilities

• Research, design, develop, and manage software applications end-to-end

• 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

• Own AI governance, model lifecycle management, and ongoing 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

Requirements

Must-Have

• 4+ years in AI/ML engineering or advanced data science

• Demonstrated experience shipping autonomous AI agents into production, not just building demos

• Strong grounding in context engineering

• 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)

• Experience wiring LLMs into applications via API

• Working knowledge of AI governance, model lifecycle management, and evaluation frameworks

• Direct experience implementing or extending Model Context Protocol (MCP)

• Familiarity with AI guardrails and safety tooling

• Understanding of data privacy requirements, including PII/PHI handling

Nice-to-Have

• Experience working in a law firm, legal operations, or legal tech environment

• Hands-on experience with AI tools such as LLMs (e.g., ChatGPT), automation platforms (Zapier, Make), OCR tools, or analytics platforms

• Background in marketing automation, lead generation systems, or paid ads optimization

• Experience with chatbots, call automation, or client intake systems

• Familiarity with document automation, legal research tools, or eDiscovery platforms

• Basic understanding of APIs, integrations, or no-code/low-code tools

• Experience building dashboards (e.g., Power BI, Tableau, Google Data Studio)

• Knowledge of data privacy, compliance, and security considerations in AI implementation

• Prior experience in a consulting, operations, or innovation-focused role

System and Work Setup Requirements

• A stable and high-speed internet connection preferably 25 MBPS or higher with backup in cases of power interruption or service provider issues.

• Own PC/laptop with 8GB RAM, and a processor of Core i5 / AMD Ryzen 3 / 2013 Mac equivalent or higher; Windows 10 or above / Catalina 10.15 or newer; with up-to-date web browsers, and security software, 500GB/128 SSD storage

• Headset/earphone with noise cancellation and webcam at 720p or higher resolution

• A designated, quiet, and well-organized workspace free from distractions to facilitate focused work

Benefits

• Permanent remote work setup

• Competitive starting rate paid in USD

• Internet Allowance

• HMO insurance (PH)

• Paid US holidays

• Paid Vacation and Sick Leaves