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Back End Engineer (AI & Java)

Wiraa

Salary not specified
Aug 21, 2025
Remote, US
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Automation Anywhere is seeking an AI & Java Back-End Engineer to design, develop, and maintain scalable backend systems that support their cutting-edge automation platform, integrating advanced AI and machine learning capabilities.

Requirements

  • Strong proficiency in Java and related frameworks such as Spring and Hibernate
  • Experience with microservices architecture and building scalable APIs
  • Hands-on knowledge of REST API development and security best practices
  • Experience with AI/ML/GenAI technologies and their application in software solutions
  • Proficiency with relational databases such as MSSQL, Oracle, MySQL, including query optimization techniques
  • Experience with version control systems like Git or SVN, and build tools such as Maven or Gradle
  • Knowledge of CI/CD pipelines and automation tools

Responsibilities

  • Provide technical leadership and mentorship to a team of Java developers, ensuring adherence to best practices and code quality standards
  • Design, develop, and maintain scalable backend services, APIs, and integrations supporting automation workflows
  • Lead the integration of AI/ML capabilities into the automation platform, including intent recognition, summarization, and intelligent suggestions
  • Own the full software development lifecycle, including coding, database management, CI/CD pipeline implementation, testing, and deployment
  • Collaborate with cross-functional teams to deliver high-impact, reliable solutions within project timelines
  • Monitor system performance, troubleshoot issues, and optimize backend services for performance and scalability
  • Participate in code reviews, documentation, and knowledge sharing to foster a collaborative engineering environment

Other

  • 6+ years of experience in designing and architecting complex backend software systems
  • Excellent problem-solving, analytical, and communication skills
  • Ability to work effectively in fast-paced, agile environments
  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field