Software AI Engineer

Innovative IT Solutions Inc
Blue Bell, PA, United States
7 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$124,800.0
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Agile Methodology Artificial Intelligence Amazon Web Services Cloud Computing Program Optimization Code Review Continuous Integration Software Debugging DevOps Drools Java Business Process Management
+12 more
OpenShift Software Engineering SQL Databases Enterprise Software Applications GitHub Copilot Spring-boot Backend Event Driven Architecture Containerization Kubernetes Restful APIs Microservices

Job description

  • Develop and maintain production-grade Java/Spring Boot microservices and REST APIs.
  • Use AI tools such as Claude and Copilot for coding, testing, debugging, and documentation.
  • Review and optimize AI-generated code for quality, security, performance, and maintainability.
  • Work with workflow orchestration platforms such as Temporal, Camunda, or similar.
  • Contribute to CI/CD, DevOps, Kubernetes/OpenShift, and AWS environments.
  • Collaborate with technical leads, data teams, and product teams on end-to-end solutions.
  • Participate in code reviews, troubleshooting, system optimization, and Agile development.

Requirements

We are looking for a Senior Software AI Engineer with strong backend/enterprise software development experience. The ideal candidate will have expertise in Java, Spring Boot, Microservices, REST APIs, SQL, and cloud/container technologies, along with hands-on experience using AI-assisted development tools such as Claude or GitHub Copilot., * 5+ years of backend/enterprise software engineering experience.

  • Strong Java, Spring Boot, Microservices, REST API, and SQL experience.
  • Hands-on experience building and deploying production applications.
  • Experience with AI-assisted development tools (Claude, Copilot, or similar).
  • Experience with Kubernetes/OpenShift, AWS, CI/CD, and DevOps.
  • Experience with distributed/event-driven systems.
  • Exposure to Temporal, Camunda, Flowable, JBPM, or Drools.
  • Strong problem-solving, communication, and code-review skills.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

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Choosing TypeScript for complex backend applications

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Exploring internal AI product initiatives and global engineering roles

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