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

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

• Permanent remote work setup

• Competitive starting rate paid in USD

• Internet Allowance

• HMO insurance (PH)

• Paid US holidays

• Paid Vacation and Sick Leaves