AI Full Stack Engineer

3 - 6 years

5 - 8 Lacs

Posted:17 hours ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Were looking for a hands-on AI Full Stack Engineer who enjoys taking ownership and building intelligent, scalable, and high-performance applications.

The ideal candidate will have strong experience with Python, Node.js, React or Angular, PostgreSQL, and AWS, along with a solid understanding of CI/CD pipelines, containerization (Docker/Kubernetes), and modern AI-driven architectures.

Key Responsibilities:

  • Design, develop, and deploy full-stack AI-driven web applications.
  • Build scalable APIs and backend services using Python and Node.js.
  • Develop clean, responsive front-end interfaces using React or Angular.
  • Integrate AI/ML models into production systems and optimize their performance.
  • Manage databases using PostgreSQL, ensuring data security and efficiency.
  • Implement CI/CD workflows using GitHub Actions or similar tools.
  • Deploy, scale, and monitor applications on AWS using Docker and Kubernetes.
  • Collaborate with cross-functional teams to deliver robust, production-ready AI solutions.
  • Follow best practices in coding, version control, and documentation.

Required Skills & Experience:

  • 3-6 years of experience in full-stack development with exposure to AI/ML systems.
  • Strong proficiency in Python and Node.js for backend development.
  • Hands-on experience with React or Angular for front-end development.
  • Good understanding of PostgreSQL and database design principles.
  • Experience with AWS, Docker, and Kubernetes for cloud deployment and scaling.
  • Proficiency in Git, GitHub CI/CD, and modern DevOps practices.
  • Experience integrating AI/ML models into web or enterprise applications.
  • Strong problem-solving skills and ability to work in a fast-paced environment.
  • Bachelors degree in computer science, Engineering, or equivalent practical experience.Familiarity with FastAPI, Express.js, or Flask frameworks.
  • Exposure to MLOps, data pipelines, or model monitoring.
  • Knowledge of GraphQL, TypeScript, or microservices architecture.
  • Experience in Agile/Scrum environments.

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