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 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 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
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
Berry Virtual is one of the world’s leading business solutions and staffing providers to business owners in the United States. We are focused on providing elite virtual staffing solutions, strategic business management consultations, and revenue-boosting packages to drive efficiency and positive impact on the bottom line of our business partners.Our continued commitment to our clients includes providing top-quality work, stellar work ethics, exceptional support team, and unparalleled efficiency. Our Mission is to offer better work opportunities to experienced professionals with specialized skills. We love to see our teams grow not just professionally, but also personally!At Berry Virtual, we recognize that your growth is our growth, and we're committed to fostering an environment that propels you forward.
Berry Virtual is one of the world’s leading business solutions and staffing providers to business owners in the United States. We are focused on providing elite virtual staffing solutions, strategic business management consultations, and revenue-boosting packages to drive efficiency and positive impact on the bottom line of our business partners.
Our continued commitment to our clients includes providing top-quality work, stellar work ethics, exceptional support team, and unparalleled efficiency. Our Mission is to offer better work opportunities to experienced professionals with specialized skills. We love to see our teams grow not just professionally, but also personally!
At Berry Virtual, we recognize that your growth is our growth, and we're committed to fostering an environment that propels you forward.
