AI Forward Deployed Engineer

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

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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

Originally posted on Himalayas