Key Responsibilities:Research, design, develop, and manage software applications end-to-endBuild and deploy production-grade autonomous AI agents (not just prototypes)Design and implement RAG architectures backed by vector databasesDevelop and optimize multi-agent workflows and agentic systemsIntegrate large language models via API — OpenAI, Hugging Face, Azure AIImplement Model Context Protocol (MCP) to enable secure, governed data access for agentsOwn AI governance, model lifecycle management, and ongoing evaluation of deployed agentsApply AI safety controls: guardrails, content filtering, and risk mitigationCollaborate cross-functionally with developers, UX designers, and business/systems analystsContinuously optimize LLM performance, inference cost, and token usageRequirementsMust-Have4+ years in AI/ML engineering or advanced data scienceDemonstrated experience shipping autonomous AI agents into production, not just building demosStrong grounding in context engineeringHands-on experience with agent frameworks: LangChain, LangGraph, CrewAI, AutoGPTExperience building RAG systems on vector databasesStrong Python skills plus fluency with AI/ML libraries (OpenAI, Hugging Face, Azure AI)Experience wiring LLMs into applications via APIWorking knowledge of AI governance, model lifecycle management, and evaluation frameworksDirect experience implementing or extending Model Context Protocol (MCP)Familiarity with AI guardrails and safety toolingUnderstanding of data privacy requirements, including PII/PHI handlingNice-to-HaveExperience working in a law firm, legal operations, or legal tech environmentHands-on experience with AI tools such as LLMs (e.g., ChatGPT), automation platforms (Zapier, Make), OCR tools, or analytics platformsBackground in marketing automation, lead generation systems, or paid ads optimizationExperience with chatbots, call automation, or client intake systemsFamiliarity with document automation, legal research tools, or eDiscovery platformsBasic understanding of APIs, integrations, or no-code/low-code toolsExperience building dashboards (e.g., Power BI, Tableau, Google Data Studio)Knowledge of data privacy, compliance, and security considerations in AI implementationPrior experience in a consulting, operations, or innovation-focused roleSystem 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 storageHeadset/earphone with noise cancellation and webcam at 720p or higher resolutionA designated, quiet, and well-organized workspace free from distractions to facilitate focused workBenefitsPermanent remote work setupCompetitive starting rate paid in USDInternet AllowanceHMO insurance (PH)Paid US holidaysPaid Vacation and Sick Leaves
7 days ago