Senior Java Spring Boot Microservices Developer – AI & AWS

Filled
February 23, 2026
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Job Description

We are seeking a highly skilled and innovative Senior Java Spring Boot Microservices Developer to join our dynamic team. This role focuses on building and enhancing next-generation AI-powered applications and services, leveraging AWS Bedrock and advanced conversational AI technologies.

Responsibilities

  • Design, develop, and deploy scalable microservices using Java and Spring Boot.
  • Integrate AWS Bedrock services to build and deploy generative AI solutions, including custom models and agents.
  • Develop and implement AI-driven automations across business processes.
  • Design, build, and maintain intelligent chatbots and voicebots using AWS services such as Amazon Lex, Polly, and Transcribe, along with other AI frameworks.
  • Work with large language models (LLMs) and implement techniques like Retrieval-Augmented Generation (RAG) to enhance AI capabilities.
  • Collaborate with product owners, UI/UX designers, and developers to deliver end-to-end solutions.
  • Ensure code quality, performance, and security through unit testing, integration testing, and code reviews.
  • Participate in architectural discussions and contribute to the technical roadmap for AI initiatives.
  • Stay up to date with emerging AI technologies and trends, particularly within the AWS ecosystem.

Required Skills & Experience

  • Strong expertise in Java (Spring Boot) and microservices architecture.
  • Hands-on experience with AWS services such as Bedrock, Lambda, ECS/Fargate, S3, and CloudWatch.
  • Experience building AI-powered applications and integrating large language models.
  • Familiarity with chatbots, voicebots, and conversational AI frameworks.
  • Knowledge of RAG techniques, AI pipelines, and automations.
  • Solid understanding of REST APIs, message brokers, and cloud-native deployment.
  • Expertise in unit testing, integration testing, and CI/CD pipelines.
  • Strong collaboration skills and ability to work in cross-functional teams.

Nice-to-Have

  • Experience with generative AI models such as Gemini, GPT, or similar.
  • Prior work on enterprise AI applications or large-scale distributed systems.
  • Knowledge of data pipelines, ML workflows, or AI orchestration.

Why Join Us

  • Work on cutting-edge AI initiatives with a talented team.
  • Build scalable, high-performance microservices integrated with AWS AI services.
  • Opportunity to shape the future of enterprise AI applications.