Sr. API/Backend Engineer | USC Only.

Xlysi•Phoenix, AZ
•Onsite

About The Position

We are seeking an experienced API/Backend Engineer with strong hands-on experience in Java, Spring Boot, REST APIs, and Microservices. The role involves designing and developing API/backend services using a microservice-based architecture. A key aspect of this position is the strong programming experience in Python, with a focus on AI/ML and Generative AI applications. You will be responsible for integrating AI capabilities, including LLMs and GenAI, into backend/API solutions, with experience in Google Vertex AI / Vertex and cloud-based AI services being highly desirable. Experience with Apache Kafka for event-driven and distributed applications, RDBMS and NoSQL databases, and CI/CD pipelines using tools like Maven, Git, and Jenkins is essential. A strong understanding of scalable, secure, and high-performance API/backend architecture, along with modern DevOps practices in cloud environments, is required. The role also involves developing and integrating GenAI/LLM-based solutions with enterprise backend applications.

Requirements

  • Strong hands-on experience in Java, Spring Boot, REST APIs, and Microservices.
  • Experience designing and developing API/backend services using microservice-based architecture.
  • Strong programming experience in Python.
  • Exposure to AI/ML and Generative AI applications.
  • Experience with LLMs, GenAI, TensorFlow and integrating AI capabilities into backend/API solutions.
  • Experience with Google Vertex AI / Vertex and cloud-based AI services.
  • Strong experience with Apache Kafka for event-driven and distributed applications.
  • Good knowledge of RDBMS and NoSQL databases.
  • Experience with Maven, Git, Jenkins and CI/CD pipelines.
  • Strong understanding of scalable, secure and high-performance API/backend architecture.
  • Experience developing and integrating GenAI/LLM-based solutions with enterprise backend applications.
  • Good understanding of cloud environments and modern DevOps practices.
  • Must include a valid LinkedIn profile link on resume.

Responsibilities

  • Design and develop API/backend services using a microservice-based architecture.
  • Develop backend/API solutions using Python, with a focus on AI/ML and Generative AI applications.
  • Integrate AI capabilities, including LLMs and GenAI, into backend/API solutions.
  • Utilize Google Vertex AI / Vertex and cloud-based AI services.
  • Implement event-driven and distributed applications using Apache Kafka.
  • Work with RDBMS and NoSQL databases.
  • Utilize Maven, Git, Jenkins, and CI/CD pipelines for development and deployment.
  • Ensure scalable, secure, and high-performance API/backend architecture.
  • Develop and integrate GenAI/LLM-based solutions with enterprise backend applications.
  • Apply modern DevOps practices in cloud environments.
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