AI Forward Deployed Engineer

MedVirtual; Philippines; On-site; PHP 1,200,000 - 1,800,000; Full time

Job summary

MedVirtual is seeking an AI Forward Deployed Engineer in the Philippines to design and deploy custom simulation solutions for clients. You will develop Java-based applications, own the full delivery cycle from requirements to production deployment, and integrate large-scale data into AI frameworks.

You will collaborate with the core engineering team and work directly with client stakeholders to rapidly prototype and iterate.

Qualifications

• 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.

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.

Skills

Java proficiency

Python

Client communication

Problem solving

Adaptability

Education

MSc or higher in CS/AI

Tools

C++

Power BI

Tableau

Google Data Studio

ChatGPT

Zapier/Make

OCR tools

Job description

As an AI Forward Deployed Engineer, you will build and deploy custom simulation solutions directly with clients. You will develop Java-based applications to meet specific business needs and own the end-to-end delivery process, from client requirements gathering through production deployment.

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

Qualifications

• 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

Preferred

• Preferred: C++ experience for performance‑critical components
• Preferred: Background in supply chain, logistics, or operations research
• Preferred: Experience with simulation frameworks or modeling tools
• Preferred: Fintech or quantitative analysis experience
• Preferred: Prior client‑facing technical consulting experience
• Preferred: Experience working in a law firm, legal operations, or legal tech environment
• Preferred: Hands‑on experience with AI tools such as LLMs (e.g., ChatGPT), automation platforms (Zapier, Make), OCR tools, or analytics platforms
• Preferred: Background in marketing automation, lead generation systems, or paid ads optimization
• Preferred: Experience with chatbots, call automation, or client intake systems
• Preferred: Familiarity with document automation, legal research tools, or eDiscovery platforms
• Preferred: Basic understanding of APIs, integrations, or no-code/low‑code tools
• Preferred: Experience building dashboards (e.g., Power BI, Tableau, Google Data Studio)
• Preferred: Knowledge of data privacy, compliance, and security considerations in AI implementation
• Preferred: Prior experience in a consulting, operations, or innovation‑focused role