Java Developer with AI Experience
Summary
Java developer building AI-enabled backend services using Spring Boot, LLMs, RAG, and vector stores, with DevOps and security responsibilities at Accenture Philippines.
Who You Are
You’re a hands‑on Java engineer who loves turning complex problems into elegant, intelligent solutions. You thrive at the intersection of
Who You Are
You’re a hands‑on Java engineer who loves turning complex problems into elegant, intelligent solutions. You thrive at the intersection of Java, AI, and modern cloud engineering, and you get energized by building systems that learn, automate, and scale. You know how to connect the dots across backend services, APIs, microservices, data pipelines, and AI model endpoints. You’ve built features powered by LLMs, semantic search, vector stores, embeddings, and RAG using frameworks like Java platforms (Spring Boot, Java EE, Spring Application Framework, Node.js), Quarkus, or Micronaut. You’re a natural problem‑solver who designs resilient, high‑performance services and uses AI to boost reliability, automation, and system intelligence. You collaborate effortlessly with Product, MLOps, Data Science, and Platform teams — and you’re always learning, experimenting, and staying ahead in the fast‑moving AI + Java world.
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
- Minimum 3 years of experience 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
Education & Certifications
- 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.