Java AI Engineer

CareerCircle

United States

Remote

USD 120,000 - 160,000

Full time

12 days ago

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Job summary

CareerCircle seeks a skilled Java + AI Engineer to design, develop, and enhance scalable software applications and intelligent solutions. You will work on Java/Spring Boot backends, RESTful APIs, and microservices while integrating AI/Generative AI capabilities into products.

The role involves collaborating with product managers, data scientists, and engineers, building reliable, high-performance systems, and contributing to CI/CD and DevOps practices. 4+ years of experience is expected.

Qualifications

  • Proven experience in Java backend development and Spring Boot.
  • Strong understanding of RESTful services and microservices architecture.
  • Experience integrating AI/Generative AI into software applications and working with LLMs/AI APIs.

Responsibilities

  • Design, develop, test, and maintain scalable Java backends using Spring Boot.
  • Develop and maintain RESTful APIs and microservices.
  • Integrate AI/Generative AI capabilities into applications and backend services.
  • Work with LLMs, AI APIs, and AI-powered services to build intelligent features.
  • Develop AI-powered automation, search, recommendations, content generation and more.
  • Collaborate with product managers, architects, data scientists, and engineers to translate requirements into scalable solutions.
  • Contribute to CI/CD pipelines and modern DevOps practices.
  • Stay current with emerging AI and software engineering technologies.

Skills

Java
Spring Boot
REST APIs
Microservices
AI/Generative AI
LLMs
AI APIs
OOP
Data structures
Algorithms
Software design
Relational DBs
NoSQL
Automated testing
Git
CI/CD
DevOps

Tools

Git
CI/CD

Job description

Job Description

We are seeking a skilled Java + AI Engineer to design, develop, and enhance scalable software applications and intelligent solutions. The ideal candidate has strong hands-on experience with Java, Spring Boot, microservices, and modern backend development, along with practical experience integrating AI/Generative AI technologies into applications.

Responsibilities
  • Design, develop, test, and maintain scalable applications and backend services using Java and Spring Boot.
  • Develop and maintain RESTful APIs and microservices.
  • Integrate AI/Generative AI capabilities into applications and backend services.
  • Work with LLMs, AI APIs, and AI-powered services to build intelligent application features.
  • Develop solutions that leverage AI for automation, search, recommendations, content generation, and other business use cases.
  • Collaborate with product managers, architects, data scientists, and engineering teams to translate requirements into scalable technical solutions.
  • Design and implement reliable, maintainable, and high-performance software.
  • Integrate applications with databases, APIs, cloud services, and distributed systems.
  • Troubleshoot application issues and improve system performance, reliability, and scalability.
  • Participate in architecture discussions, code reviews, testing, and technical design.
  • Contribute to CI/CD pipelines and modern DevOps practices.
  • Stay current with emerging AI and software engineering technologies.
Required Qualifications
  • 4+ years of professional software engineering experience.
  • Strong hands-on experience with Java.
  • Strong hands-on experience with Spring Boot.
  • Experience designing and developing RESTful APIs and microservices.
  • Hands-on experience integrating AI/Generative AI technologies into software applications.
  • Experience working with LLMs, AI APIs, or AI-powered application features.
  • Strong understanding of object-oriented programming, data structures, algorithms, and software design principles.
  • Experience working with relational and/or NoSQL databases.
  • Experience developing scalable, production-ready applications.
  • Experience with automated testing and modern software development practices.
  • Experience with Git and modern software development workflows.
  • Strong problem-solving, communication, and collaboration skills.
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