Java Developer with AI Experience

Accenture; Metro Manila; On-site; PHP 900,000 - 1,800,000; Full time

Job summary

Accenture in Metro Manila seeks a backend engineer to design, build, and maintain Java-based, AI-enabled applications and robust backend services.

You will develop scalable APIs and microservices using Java technologies, integrate AI models, and implement secure, observable CI/CD pipelines while collaborating with Product, MLOps, Data Science, and Platform teams.

Qualifications

• Strong backend development experience in Java and related frameworks.
• Experience integrating AI-enabled applications and models into production systems.
• Familiarity with security best practices, IAM, and encryption.

Responsibilities

• Design, build, and maintain Java-based, AI-enabled applications and backend services.
• Develop scalable APIs and microservices using Java, Spring Boot, Spring Framework, or Java EE.
• Integrate applications with AI models, platforms, and model endpoints.
• Build intelligent features using LLMs, RAG, embeddings, semantic search, and vector stores.
• Contribute to architecture, system design, and technical decision-making.

Skills

Java

Spring Boot

AI integration

DevOps

Security

Tools

CI/CD tooling

Observability

Job description

• Design, build, and maintain Java-based, AI-enabled applications and backend services.

• Develop scalable APIs and microservices using Java, Spring Boot, Spring Framework, or Java EE.

• Integrate applications with AI models, platforms, and model endpoints.

• Build intelligent features using technologies such as large language models, RAG, embeddings, semantic search, and vector stores.

• Contribute to application architecture, system design, and technical decision-making.

• Develop resilient, secure, and high-performing backend solutions.

• Implement DevOps practices, including CI/CD pipelines, observability, monitoring, and automated delivery.

• Apply secure coding and enterprise security principles, including identity and access management and encryption.

• Work closely with Product, MLOps, Data Science, and Platform teams.

• Troubleshoot technical issues and improve application performance, reliability, and scalability.

• Deliver high-quality, production-ready AI features and applications.