AI Engineer / Data Scientist

Role OverviewSeeking a strong Lead Engineer to drive architecture, design, and development of a cloud-native, configuration-driven, event-based platform supporting healthcare payer workflows and Payment Integrity systems.Key ResponsibilitiesLead end-to-end engineering initiativesProvide architectural guidance and hands-on developmentBuild scalable metadata-driven and rule-engine systemsCollaborate with product, architecture, and business teamsMentor developers and enforce engineering best practicesRequired Skills8+ years in software engineeringStrong expertise in Python or JavaExperience with configuration-driven platforms and rule enginesStrong SQL & NoSQL database knowledgeKafka and event-driven architecture experienceAWS services: EKS, ECS, Lambda, S3, RDS, DynamoDBCI/CD, Docker, Kubernetes, GitOpsHealthcare domain expertise with Payment Integrity focusPreferred ExperienceAutonomous agentsTool-calling workflowsMulti-agent architecturesLocal/private AI deploymentsAdvanced AI reasoning & orchestrationHands-on experience with modern AI models like Qwen, Gemma, Llama, Claude, Gemini, Codex, etc.Kafka and Payment Integrity experience are mandatoryKey SkillsPython, Oracle, Kafka, Windsurf/GitHub Copilot/Cursor, Payment Integrity Platforms