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
Berry Virtual is a virtual assistant staffing platform that connects U.S. businesses with pre-vetted, globally-based remote staff trained in American business workflows. The company specializes in matching dedicated virtual assistants for roles including administrative support, sales development, bookkeeping, customer service, and executive assistance, with placements completed in 3-5 business days starting at $11/hour. Berry Virtual serves over 250 U.S. businesses across multiple industries including tech, finance, construction, hospitality, insurance, and property management, offering fully managed staffing solutions without long-term contracts. The platform handles sourcing, screening, and onboarding while providing ongoing account management support, enabling businesses to scale operations without traditional hiring headaches. Berry Virtual reports 97% client satisfaction and an average cost savings of 70% compared to in-house staff.
