Note: The job is a remote job and is open to candidates in USA. The client is a healthcare solutions and analytics company that uses clinical and financial datasets to improve healthcare organizations’ financial performance, efficiency, and quality. The Senior Software AI Engineer will build and enhance production-grade backend services using AI-assisted development workflows, while contributing to integrations, cloud-native deployments, quality practices, and continuous engineering improvement.
Responsibilities
- 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., Temporal.io, 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
- 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
- Ensure adherence to Cotiviti 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
Skills
- · 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)
- · Experience building workflow-driven or decision-automation solutions, or with enterprise workflow platforms (Temporal.io 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
Benefits
- Remote work arrangement
Company Overview
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