Role Description AIDLC / Full-Stack Engineer AWS-Native, Event-Driven Annuity Reinsurance Platform Role Overview Seeking a Full-Stack Engineer with AI Development Lifecycle (AIDLC) experience to build and scale a cloud-native annuity reinsurance platform. The role combines full-stack development, AWS engineering, event-driven architecture, API development, and AI/LLM integration to deliver secure, scalable, and production-ready solutions.

Key Responsibilities Develop frontend and backend solutions for contract management, transactions, funds, treaties, placements, cessions, billing, reporting, and monitoring. Build modern web applications using React/Angular and cloud-native microservices. Design and implement AI-enabled capabilities including RAG, AI assistants, knowledge search, prompt management, governance, evaluation, and observability.

Develop backend services for contracts, transactions, funds, treaty administration, placement processing, cession generation, and reporting. Design event-driven architectures using EventBridge, SNS, SQS, and asynchronous processing patterns. Build REST APIs and integrations with administration systems, TPAs, reporting platforms, and reinsurance partners.

Design scalable data models and implement validation, auditability, and data integrity controls. Support CI/CD, Infrastructure as Code, monitoring, automation, and production operations.

Required Qualifications Bachelor's degree in Computer Science, Engineering, IT, or related field. 5+ years of software engineering experience. 2+ years of AI/LLM application development.

Experience building cloud-native applications and microservices. Robust understanding of distributed systems and Agile delivery.





Technical Skills Backend

Java/Spring Boot, Python/FastAPI, .NET Core, or Node.js/TypeScript Frontend React or Angular TypeScript, JavaScript, HTML5, CSS3 AWS Lambda, ECS/EKS, Fargate EventBridge, SNS, SQS, Step Functions Aurora PostgreSQL, DynamoDB, S3 IAM, Cognito, CloudWatch APIs &

• Data REST APIs, Swagger/OpenAPI OAuth, JWT, Webhooks PostgreSQL, DynamoDB, MongoDB AI &

• GenAI Amazon Bedrock, OpenAI, Azure OpenAI, Claude LangChain, LangGraph, Semantic Kernel, LlamaIndex Prompt Engineering, RAG, Vector Search, Embeddings, AI Agents, Model Evaluation, AI Governance Architecture &

• DevOps Event-Driven Architecture Microservices Docker, Kubernetes Terraform GitHub Actions CI/CD Preferred Domain Experience Annuity Administration Reinsurance Administration Life Insurance Financial Services Treaty Reinsurance, Cessions, Billing &

• Settlement Desired Competencies Product engineering mindset Strong analytical and problem-solving skills Excellent communication and stakeholder management Ownership mentality with focus on quality and scalability Passion for AI-enabled software development Success Measures Deliver scalable AWS-native solutions. Build secure event-driven services and APIs. Implement AI-enabled capabilities with governance controls. Improve automation, observability, and operational efficiency. Support development of a configurable, cloud-native annuity reinsurance product.

Ideal Candidate: Hands-on engineer with expertise in Full-Stack Development, AWS, Event-Driven Architecture, and GenAI/AIDLC capabilities, capable of taking a product from MVP to enterprise scale.

Skills AWS, Python, Generative AI, React

📌 Product Engineer I - Generative AI (Bengaluru)
🏢 UST
📍 Bengaluru