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Title: Senior Java Software Engineer (AI)
Duration: Long Term
Remote
Description:
• Design and develop Java based backend services and APIs that integrate with workflow orchestration platforms such as Appian.
• Implement AI/ML enabled capabilities (e.g., classification, extraction, recommendations, prediction, decision support) using Python and enterprise AI frameworks.
• Collaborate closely with Java software engineers to align AI services with core backend architecture and shared platforms.
• Develop and maintain microservices using Java, Spring based frameworks, and established enterprise patterns.
• Expose AI capabilities through secure, scalable APIs for consumption by workflow and application services.
• Partner with data engineering teams to access, transform, and validate data used in AI use cases.
• Support model integration, inference pipelines, monitoring, and performance tuning in production environments.
• Contribute to CI/CD pipelines, DevSecOps practices, automated testing, and observability across Java and AI services.
• Participate in code reviews, design discussions, and technical collaboration to promote quality and consistency.
Qualifications:
• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
• Must have 12+ years of enterprise software development experience, including backend systems.
• Strong proficiency in Java with hands on experience using Spring Boot / Spring Cloud.
• Hands on experience with Python for building or integrating AI/ML solutions.
• Experience integrating AI/ML models or AI services into enterprise applications.
• Strong understanding of RESTful API design, integration patterns, and service security.
• Hands on experience with relational databases (PostgreSQL preferred), data modeling, and query optimization.
• Familiarity integrating backend services with workflow orchestration platforms such as Appian.
• Understanding of agile development practices (SAFe preferred). • Strong communication skills and ability to collaborate across engineering teams. Preferred Qualifications
• Experience working on workflow intelligence, decision automation, NLP, or document processing use cases.
• Exposure to MLOps practices, model lifecycle management, or cloud based AI platforms. • Prior experience with BPM or workflow orchestration platforms (e.g., Appian, Camunda, JBPM).
• Background in Healthcare IT, payment integrity, or regulated environments.
• Experience contributing to shared enterprise platforms, AI services, or integration frameworks.
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