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 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