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
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, Googl