AI Agent Developer

Job not on LinkedIn

🔥 2 hours ago

🌐 Philippines, India, +3 more countries – Remote

🇵🇭 Philippines – Remote 🇮🇳 India – Remote 🇭🇳 Honduras – Remote 🇨🇴 Colombia – Remote 🇲🇽 Mexico – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🖥 Software Engineer

👻 Ghost score 24%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Berry Virtual

WebsiteLinkedInAll Job Openings

51 - 200 employees

Berry Virtual is not described in the provided text. The supplied document appears to be Linktree marketing and product content rather than information about Berry Virtual, so there is insufficient data to determine Berry Virtual’s business model, products, or target customers. Please provide a company website, a short description, or other source material for an accurate analysis.

📋 Description

• 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

🎯 Requirements

• 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 • Stable and high-speed internet connection, preferably 25 MBPS or higher, with backup for power interruptions 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 • Up-to-date web browsers and security software • 500GB/128 SSD storage • Headset/earphone with noise cancellation • Webcam at 720p or higher resolution • Designated, quiet, and well-organized workspace free from distractions

🏖️ 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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