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Java AI software Engineer

LetitBeX AI Tech Solutions LLCUnited States🇺🇸United StatesPosted Oct 8, 2026

Why This Role Stands Out

As a Java AI Software Engineer at LetitBeX AI Tech Solutions, you'll leverage cutting-edge AI tools to build innovative backend solutions, offering a fantastic opportunity for professional growth in a dynamic tech environment. This hybrid role is ideal for experienced Java developers with a passion for AI and a knack for problem-solving, providing a collaborative atmosphere and the chance to shape the future of AI-driven applications.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
United States
Posted
22 hours ago
SAFeDockerMicroservicesOracleSQLSpringSpring BootAWSAgileAzureJavaKubernetesPostgreSQLREST

Job Description

Required Qualifications

<>Education
  • BS or MS in Computer Science, Information Technology, Engineering, or equivalent experience.
<>Experience
  • 5+ years of professional backend/enterprise software engineering experience.
  • Strong proficiency in Java, Spring Boot, and microservices architecture.
  • Solid REST API and integration-pattern experience.
  • Demonstrated experience building and shipping production applications.
  • Experience using AI-assisted tools (Claude, Copilot, or similar) as part of daily workflow.
  • Strong debugging, problem-solving, and code-review skills.
  • Detail-oriented, ownership-driven approach to quality.
  • Experience with relational databases/SQL (PostgreSQL/Oracle).
  • Experience with data modeling and performance tuning.
  • Experience with event-driven/distributed systems.
  • Experience with CI/CD, DevOps, and container/cloud platforms (OpenShift, Kubernetes, AWS).
  • Exposure to workflow orchestration platforms:
    • Temporal
    • Camunda
    • Flowable
    • JBPM
    • Drools
  • Strong communication and collaboration skills.
  • Ability to learn quickly in a fast-evolving technical environment.
  • Agile experience (SAFe preferred).

Preferred Qualifications

  • Experience building workflow-driven or decision-automation solutions.
  • Experience with enterprise workflow platforms (Temporal.io or similar).
  • Exposure to AI-native development practices.
  • Experience with prompt-assisted workflows.
  • Knowledge of governance practices for AI-assisted development.
  • Experience contributing to shared platforms/integration frameworks.
  • Experience building internal developer tools and automation.
  • Experience with cloud platforms:
    • AWS
    • Azure
    • OCI
  • Experience with containerization:
    • Docker
    • Kubernetes
  • Background in Healthcare IT or regulated environments.

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