AI Forward Deployed Engineer

Berry Virtual · Philippines · Remote

Posted 8/18/2026 · last confirmed live 8/26/2026

Key Responsibilities: Build and deploy custom simulation solutions directly with clients Develop Java-based applications to meet specific business needs Own end-to-end delivery — from client requirements gathering through production deployment Integrate large-scale data into simulation and AI frameworks Collaborate with the core engineering team on architecture decisions for the simulation platform Work directly with client stakeholders across all levels, from technical teams to executives Rapidly prototype and iterate solutions based on real client feedback Drive projects from initial idea through deployment with a high degree of autonomy Requirements Must-Have MSc or higher in Computer Science or an AI-related field Ability to work directly with clients, translating business needs into technical solutions Strong Java proficiency Working knowledge of Python for data processing and analysis Experience with large-scale data processing and integration Strong problem-solving skills applied to complex technical challenges Comfort operating in a dynamic environment with evolving requirements 1–2 years of relevant post-university experience Nice-to-Have C++ experience for performance-critical components Background in supply chain, logistics, or operations research Experience with simulation frameworks or modeling tools Fintech or quantitative analysis experience Prior client-facing technical consulting experience 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

This role is published by Berry Virtual on workable. SwiftFit is not the employer and does not accept applications.