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

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