Product Engineer I - Generative AI
UST (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 18–30 LPA
Posted on 19 Sept
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Job description
Structured overview of role & requirements
About This Role
- 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.
Minimum Requirements
- 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).
Ideal Candidate Profile
- 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.