Senior Java Spring Boot Microservices Developer – AI & AWS Bedrock

Filled
February 23, 2026

Job Description

Key Responsibilities

  • Design, develop, and deploy scalable and resilient microservices using Java and Spring Boot
  • Integrate and utilize AWS Bedrock services to build and deploy generative AI solutions, including custom models and agents
  • Develop and implement AI-driven automations across business processes
  • Build and maintain intelligent chatbots and voicebots using AWS services (Amazon Lex, Polly, Transcribe) and other AI frameworks
  • Work with large language models (LLMs) and implement Retrieval-Augmented Generation (RAG) techniques 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 updated with emerging AI technologies and trends within the AWS ecosystem

Required Skills & Experience

  • 6+ years of experience in Java backend development with strong Spring Boot expertise
  • Proven experience in microservices architecture, RESTful API design, and cloud-native applications
  • Hands-on experience with AWS services including Bedrock, Lambda, S3, CloudWatch, and EC2
  • Knowledge of generative AI, LLMs, and AI pipelines
  • Experience implementing RAG techniques, chatbots, and voicebot frameworks
  • Strong understanding of unit testing, integration testing, CI/CD, and code quality practices
  • Familiarity with containerization and orchestration (Docker, Kubernetes) is a plus
  • Excellent communication skills and ability to collaborate in a cross-functional team

Preferred Qualifications

  • Previous experience building AI-powered enterprise solutions
  • Familiarity with AWS Lex, Polly, Transcribe, or other NLP frameworks
  • Knowledge of conversational AI and AI automation workflows
  • Exposure to event-driven architectures and streaming data pipelines

Engagement Details

  • Location: Remote / Flexible
  • Contract: Full-time or long-term
  • Compensation: Competitive, commensurate with experience