Full Stack Engineers for AI Platforms
Summary
Build and maintain Java-based AI applications and backend services using DevOps practices, secure coding, and cloud/AI tooling.
On-site - Manila 5-10 Yrs Exp Bachelor Full-time
Job Description
Employee Recognition and Rewards
Performance Bonus, Incentives
Government Mandated Benefits
Insurance Health & Wellness
HMO
Key Responsibilities
- Build and maintain Java-based, AI-enabled applications and backend services
- Implement DevOps best practices with CI/CD pipelines, observability, and monitoring tools
- Apply secure coding standards including IAM, encryption, and enterprise security practices
- Contribute to system architecture, design discussions, and technical decision‑making
- Work with cross‑functional teams to deliver high‑quality, production‑ready AI features
Qualifications
- Bachelor's degree in Computer Science, Engineering, or a related field
- Cloud or AI certifications (AWS Developer, Azure Developer Associate, Azure AI Engineer, AWS ML specialty) are a plus
- 7-12 years in full‑stack development; 2+ years in lead developer or junior architect roles.
- Strong Java programming skills + experience with AI/ML frameworks and tooling
- Excellent debugging, problem‑solving, and communication abilities
- Hands‑on familiarity with DevOps, CI/CD, and monitoring platforms
- Solid understanding of secure coding and enterprise security principles
- Ability to balance hands‑on coding with architectural thinking
- Adaptable, curious, and eager to explore new technologies