Back
Mid-level metro full-stack GenAI role with broad stack and known employer creates high candidate competition.
Core cloud, full-stack and GenAI skills are transferable, but annuity/reinsurance domain preference raises sensitivity.
Mandatory 5+ years, 2+ years AI experience, and specific AWS/GenAI tech stack increase shortlisting strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Develop and maintain cloud-native, AWS-native frontend and backend solutions for annuity reinsurance contract management and related processes.
Design and implement AI-enabled capabilities including RAG, AI assistants, knowledge search, and prompt management with governance and evaluation controls.
Build event-driven architectures, REST APIs, and integrations; ensure scalability, data integrity, observability, automation, and support CI/CD and production operations.
Bachelor's degree in Computer Science, Engineering, IT, or related field.
5+ years of software engineering experience with at least 2 years in AI/LLM application development.
Experience with AWS, full-stack development (React/Angular frontend; Java/Spring Boot, Python/FastAPI, .NET Core, or Node.js backend), microservices, and event-driven architecture.
Not explicitly mentioned: notice period or location constraints.
Hands-on full-stack engineer with cloud-native AWS experience capable of scaling AI-enabled software from MVP to enterprise solutions.
Strong expertise in event-driven architectures, AI/GenAI integrations (e.g., LangChain, Amazon Bedrock), and microservices development.
Foundational experience or domain knowledge in annuity, reinsurance, or financial services product engineering is a plus though not mandatory.