AI Forward Deployed Engineer

• 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

• 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

• 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

• Permanent remote work setup
• Competitive starting rate paid in USD
• Internet Allowance
• HMO insurance (PH)
• Paid US holidays
• Paid Vacation and Sick Leaves

Originally posted on Himalayas