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.
- 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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