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Metro mid-level generalist role, broad full-stack plus GenAI skills and known employer increase competition.
Strong technical skill transferability but preferred reinsurance domain knowledge raises fit sensitivity.
Explicit 5+ years and 2+ years AI requirement plus specific tech stack and cloud skills.
Build and scale a cloud-native, AWS-native annuity reinsurance platform with full-stack development across frontend and backend including contract management and reinsurance processes.
Design and implement AI-enabled capabilities such as RAG, AI assistants, prompt management, and AI governance integrated with event-driven architecture and REST APIs.
Ensure security, scalability, observability, automation, and production readiness including support for CI/CD, Infrastructure as Code, and operational efficiency.
Bachelor's degree in Computer Science, Engineering, IT, or related field.
Minimum 5 years of software engineering experience, including at least 2 years with AI/LLM application development.
Experience with cloud-native applications and microservices on AWS, and knowledge of event-driven architecture.
Proficiency with backend frameworks (Java/Spring Boot, Python/FastAPI, .NET Core, or Node.js/TypeScript), frontend frameworks (React or Angular), AWS services (Lambda, ECS/EKS, EventBridge, SNS, SQS), and AI/GenAI tools (Amazon Bedrock, OpenAI, LangChain).
Experienced full-stack engineer comfortable moving products from MVP to enterprise scale with expertise in AWS, event-driven systems, and generative AI integration.
Familiarity with annuity, reinsurance, life insurance, or financial services domains is preferred but not strictly mandatory.
Strong technical ownership with ability to deliver secure, scalable, governed AI-enabled cloud services focused on automation and operational excellence.