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
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