
11 - 50 employees
🤝 B2B
🎯 Recruiter
B2B • Recruitment
Berry Virtual is a company that specializes in staffing and recruiting. They are currently directing users to their LinkedIn page for more information, suggesting a focus on building their online presence and providing updates through social media.
🔥 0 minutes ago
Improve your chances of getting an interview by checking your resume score before you apply.

11 - 50 employees
🤝 B2B
🎯 Recruiter
B2B • Recruitment
Berry Virtual is a company that specializes in staffing and recruiting. They are currently directing users to their LinkedIn page for more information, suggesting a focus on building their online presence and providing updates through social media.
• Research, design, develop, and manage software applications end-to-end • Build and deploy production-grade autonomous AI agents • Design and implement RAG architectures backed by vector databases • Develop and optimize multi-agent workflows and agentic systems • Integrate large language models via API, including OpenAI, Hugging Face, and Azure AI • Implement Model Context Protocol (MCP) for secure, governed data access • Own AI governance, model lifecycle management, and ongoing evaluation of deployed agents • Apply AI safety controls, including guardrails, content filtering, and risk mitigation • Collaborate with developers, UX designers, and business/systems analysts • Optimize LLM performance, inference cost, and token usage
• 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 LangChain, LangGraph, CrewAI, and AutoGPT • Experience building RAG systems on vector databases • Strong Python skills and fluency with OpenAI, Hugging Face, and Azure AI libraries • 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 • Stable high-speed internet connection, preferably 25 MBPS or higher, with backup for power or provider interruptions • Own PC/laptop with at least 8GB RAM, Core i5 / AMD Ryzen 3 / 2013 Mac equivalent or higher, supported operating system, current browsers and security software, and specified storage • Headset/earphone with noise cancellation and webcam at 720p or higher • Designated quiet, organized workspace free from distractions
• 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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