Full Stack Dev (Node + React)

5 - 10 years

7 - 12 Lacs

Posted:None| Platform: Naukri logo

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Job Type

Full Time

Job Description

ABOUT THE TEAM
The GenAI Product Engineering team accelerates AI innovation by transforming cutting-edge research into user-centric applications. As a Full Stack Developer, you will bridge the gap between AI models and end-users by building intuitive interfaces, internal tools, and rapid prototypes. Your work will enable stakeholders to interact with GenAI capabilities, validate ideas, and scale proofs-of-concept (POCs) into production-ready features.
At ABC, we love entrepreneurs because we are entrepreneurs. We roll our sleeves up, we act fast, and we learn together.
WHAT YOULL DO
  • Develop internal tools, admin dashboards, and lightweight POCs using React.js and Node.js to showcase GenAI capabilities.
  • Integrate backend APIs (REST/GraphQL) with frontend interfaces, ensuring seamless data flow for AI-driven features.
  • Rapidly translate wireframes into production-ready code during agile sprints, prioritizing usability and performance.
  • Collaborate with ML engineers to embed AI logic into UIs, enabling real-time interactions with models like GPT-4 and Claude.
  • Optimize application performance using AWS/Azure cloud services, reducing latency by 40% in high-traffic scenarios.
  • Implement automated testing pipelines (Jest, Cypress) to maintain code quality across 50+ internal tools.
WHAT YOULL NEED
  • 5 years of full-stack development experience with React.js, Node.js, and TypeScript.
  • Proficiency in REST/GraphQL API design and integration with databases (PostgreSQL, MongoDB).
  • Experience building admin panels and dashboards using modern frameworks (Next.js, Chakra UI).
  • Familiarity with cloud platforms (AWS Lambda, Azure Functions) and CI/CD tools (Jenkins, GitHub Actions).
  • Ability to thrive in fast-paced agile environments, delivering production-ready code within 2-week sprints.
  • Portfolio demonstrating rapid prototyping of AI/ML-powered applications.
AND ITS NICE TO HAVE
  • Exposure to GenAI toolchains (LangChain, OpenAI API) or vector databases (Pinecone, FAISS).
  • Certifications in AWS Certified Developer or Azure Fundamentals.
  • Experience with AI observability tools (Weights & Biases, MLflow).

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