Sr Software AI Engineer

Responsibilities:

AI-Native Engineering
Build and enhance production-grade Java/Spring Boot backend services APIs and microservices using AI-assisted workflows (Claude Copilot) for coding testing debugging and documentation.
Review validate and refine AI-generated code for correctness performance security and maintainability.
Integrate services with workflow orchestration platforms (e.g. Camunda) to support automation intelligent routing and decision support.
Orchestrate AI tool usage across development activities and help refine AI-native engineering standards set by the Tech Lead.


Collaboration & Delivery
Collaborate with the AI-Native Tech Lead data teams and adjacent teams to deliver features end-to-end balancing speed quality and long-term maintainability.
Participate in design discussions and code reviews; communicate technical issues and tradeoffs clearly to engineering and product stakeholders.


Quality & Continuous Improvement
Ensure adherence to client technology standards secure coding practices and SDLC requirements; resolve production issues and improve system performance and reliability.
Contribute to CI/CD DevSecOps and cloud-native deployments (OpenShift/Kubernetes AWS).
Continuously build AI-assisted development knowledge and help improve team engineering practices. Complete all responsibilities on the annual Performance Plan and any special projects/duties as assigned.

Required Qualifications:

Required
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 with solid REST API and integration-pattern experience.
Demonstrated experience building and shipping production applications using AI-assisted tools (Claude Copilot or similar) as part of daily workflow.
Strong debugging problem-solving and code-review skills with a detail-oriented ownership-driven approach to quality.
Experience with relational databases/SQL (PostgreSQL/Oracle) data modeling and performance tuning.
Experience with event-driven/distributed systems and CI/CD DevOps and container/cloud platforms (OpenShift Kubernetes AWS).
Exposure to workflow orchestration platforms (Temporal Camunda Flowable JBPM or 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 or with enterprise workflow platforms ( or similar).
Exposure to AI-native development practices prompt-assisted workflows and governance practices for AI-assisted development.
Experience contributing to shared platforms/integration frameworks or building internal developer tools and automation.
Experience with cloud platforms (AWS Azure OCI) and containerization (Docker Kubernetes).
Background in Healthcare IT or regulated environments.

Required Skills:

DEBUGGINGAZUREDEVOPSPOSTGRESQLSPRING BOOTDATA MODELINGTESTINGAWSDOCKEROCIJAVAAIMLMICROSERVICES ARCHITECTUREKUBERNETESCI/CD