Senior Software Engineer – Java / AI

Senior Software Engineer – Java / AI
Experience: 5–8+ years
Domain: Telecom / Enterprise Applications
Position Overview
We are looking for a Senior Software Engineer with strong experience in Java, Spring Boot, Spring Cloud, Microservices and REST API development, combined with practical experience integrating GenAI/LLM capabilities into software applications.
The ideal candidate should be comfortable with modern cloud-native development, event-driven architecture, AI-assisted engineering and production troubleshooting.
Key Responsibilities

• Design and develop scalable Java/Spring Boot microservices.
• Design, develop and integrate REST APIs.
• Create and maintain OpenAPI/Swagger specifications.
• Work with API Management platforms such as Apigee.
• Develop event-driven applications using Kafka.
• Build and deploy applications using Docker and Kubernetes.
• Develop and maintain CI/CD pipelines.
• Implement comprehensive unit and integration testing using JUnit.
• Participate in code reviews and maintain engineering quality standards.
• Implement application observability through logging, metrics and distributed tracing.
• Troubleshoot production issues and perform RCA.
• Integrate GenAI/LLM capabilities into enterprise applications.
• Work with RAG, vector databases and AI APIs/SDKs.
• Use Kiro, Claude or similar AI-assisted engineering tools to accelerate development.
• Review and validate AI-generated code for correctness, quality, security and maintainability.

Required Skills

• 5–8+ years of software development experience.
• Strong Java experience.
• Spring Boot / Spring Cloud.
• Microservices architecture.
• REST API development.
• OpenAPI/Swagger.
• Apigee or equivalent API Management platform.
• Docker and Kubernetes.
• CI/CD.
• Kafka / event-driven messaging.
• JUnit unit and integration testing.
• Code review and software quality practices.
• Observability:
  • Logging
  • Metrics
  • Distributed tracing

AI Skills

• GenAI / LLM integration.
• RAG concepts and implementation.
• Vector databases.
• LLM APIs/SDKs.
• AI guardrails.
• AI-assisted development using Kiro, Claude or similar tools.
• AI-generated code verification and security auditing.
• AI-assisted troubleshooting and RCA.

Good to Have

• Redis.
• AWS Lambda / serverless.
• Python.
• Telecom experience.
• Order Management or billing experience.