Java Fullstack - Gen AI Professional

JD: Senior FullStack Developer with GenAI
Role Summary
We are seeking a highly skilled Cloud AI Fullstack Developer to design, build, and deploy
scalable applications leveraging AWS services, serverless/microservice architectures, and
modern fullstack frameworks. The role involves hands on development across cloud
infrastructure, AI/GenAI solutions, and frontend/backend stacks, ensuring secure,
performant, and innovative delivery.
Key Responsibilities
Architect and implement applications using AWS services (Connect, S3, SQS, SNS, API
Gateway, EC2, Lambda, AppSync, Kinesis, Lex, Polly, Transcribe, ECS, EKS, ECR).
Design and deliver serverless and microservice architectures using Docker, Lambda,
ECS, and EKS.
Configure and manage networking components (VPC, Ingress/Egress, Security
Groups, Load Balancers).
Develop fullstack applications using Node.js, ReactJS, NextJS, TypeScript, MERN
stack.
Build and integrate GenAI applications (LLMs, RAG, prompt engineering,
hallucination handling, completions, temperature tuning).
Work with LangChain, LangGraph, Python for AI/ML pipelines.
Implement speech technologies (Text to Speech, Speech to Text, Speech to Speech).
Integrate with NoSQL databases (MongoDB, DynamoDB).
Develop CI/CD pipelines (BitBucket, GitHub Actions, or equivalent).
Write unit and integration tests using Jest, Playwright, Cypress.
Implement Infrastructure as Code (IaC) with Terraform.
Collaborate with Contact Center solutions and WebRTC integrations where
applicable.
Mandatory Skills (Critical for Role Success)
AWS Cloud Expertise: Strong know how of AWS technology stack and services.
Serverless Microservice Architecture: Hands on with Docker, Lambda, ECS, EKS.
Infrastructure as Code (IaC): Proficiency with Terraform.
Fullstack Development: In depth experience with Node.js, ReactJS, NextJS,
TypeScript, MERN stack.
GenAI Development: Experience building GenAI applications with LangChain,
LangGraph, Python and concepts like RAG, hallucination, completions, tokens,
temperature.
Preferred / Nice to Have
AWS Solutions Architect or equivalent certification.
Experience with WebRTC and Contact Center solutions.
Exposure to Google ADK.
Knowledge of speech technologies (Lex, Polly, Transcribe).
Experience with CI/CD tooling (BitBucket pipeline).
Familiarity with NoSQL databases (MongoDB, DynamoDB).
Unit testing frameworks (Jest, Playwright, Cypress).

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.