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Full Stack Developer Generative AI

  • Source: Naukri
  • Qualizeal India
  • On-site
  • Hyderabad
  • Full-Time
  • Mid level

Job Description

Role: Full Stack Developer Generative AI

Experience: 5+ years.

Role OverviewWe are looking for an experienced Full Stack Developer Generative AI to design, develop, and deploy scalable AI-driven applications focused on Quality Engineering use cases. The ideal candidate should have strong expertise in modern full-stack technologies and hands-on experience integrating LLMs and GenAI frameworks into enterprise applications.

Key Responsibilities

  • Design and develop scalable full-stack applications for Generative AI solutions
  • Build AI workflows using Lang Chain, Lang Graph, and Large Language Models (LLMs), RAG.
  • Develop responsive frontend applications using Angular and TypeScript
  • Build backend APIs and server-side services using Node.js
  • Collaborate with AI Engineers, Product Managers, and UX/UI teams to deliver high-quality applications
  • Ensure code quality, performance, scalability, and security
  • Explore emerging GenAI tools, frameworks, and best practices

Required Skills & Experience

  • 5+ years of experience as a Full Stack Developer or similar role
  • Strong expertise in TypeScript, Angular, and Node.js
  • Hands-on experience with Lang Chain, Lang Graph, and LLM integrations
  • Experience building scalable web applications and REST/GraphQL APIs
  • Knowledge of PostgreSQL, MongoDB, or similar databases
  • Familiarity with cloud platforms such as AWS, Azure, or GCP
  • Understanding of Docker and containerized deployments is an advantage
  • Strong problem-solving, communication, and collaboration skills

Preferred Qualifications

  • Experience working on Generative AI projects
  • Exposure to MLOps practices and AI model deployment
  • Familiarity with NLP concepts and AI tooling

Education

  • Bachelors degree in Computer Science, Engineering, or related field.

Skills

  • microsoft-graph
  • TypeScript
  • microsoft-typescript
  • NodeJS
  • GraphQL
  • PostgreSQL
  • MongoDB
  • amazon-web-services
  • microsoft-azure
  • google-cloud-platform
  • Docker
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