Product Engineer I - Generative AI

UST; Gurugram District; On-site; INR 1,100,000 - 1,600,000; Full time

Job summary

UST is seeking a highly capable Full-Stack Engineer with AI Development Lifecycle (AIDLC) experience to build and scale a cloud-native annuity reinsurance platform. The role combines front-end and back-end development, AWS engineering, event-driven architecture, API development, and AI/LLM integration to deliver secure, scalable, and production-ready solutions.

Ideal candidates bring 5+ years of software engineering experience, hands-on expertise with cloud-native microservices, and a strong

Qualifications

• Bachelor's degree in CS, 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.
• Strong understanding of distributed systems and Agile delivery.

Responsibilities

• Develop frontend and backend solutions for contracts, transactions, funds, and billing.
• Build modern web applications using React/Angular and cloud-native microservices.
• Design and implement AI-enabled capabilities including RAG, AI assistants, and governance.
• Develop backend services for contracts, transactions, funds, and reporting.
• Design event-driven architectures using EventBridge, SNS, SQS, and Step Functions.
• Build REST APIs and integrations with admin systems, TPAs, and partners.

Skills

Full-stack development

Distributed systems

Agile delivery

AI/LLM development

Education

Bachelor's degree in CS/Engineering/IT

Tools

AWS Lambda

ECS/EKS/Fargate

EventBridge/SNS/SQS

Docker/Kubernetes

Terraform

GitHub Actions

PostgreSQL/DynamoDB/MongoDB

React/Angular/TypeScript

Python/Java/Spring

Job description

Job Summary

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

• Bachelors 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.
• Strong 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

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

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