Fullstack Developer (Node JS)

3 - 5 years

0 - 1 Lacs

Posted:5 days ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

FULL-STACK AI ENGINEER (Node.js)

We're seeking a versatile Full-Stack AI Solutions Engineer. You'll be part of our AI Productization team, working across the entire technology stack to deliver custom AI solutions that make a real impact.

Youll grow expertise across multiple domains while contributing to research and AI implementation from concept to deployment.

As a Full-Stack AI Solutions Engineer, youll:

  • Build full-stack applications:

    design and develop GenAI-based applications, RAG systems and agentic workflow automations.
  • Research and integrate:

    looking for the most effective solutions to business problems, integrating existing products and frameworks, along with a wide range of our customers’ internal and external systems.
  • Own the roadmap:

    shape the project from its concept to production deployment, ensuring high quality standards, impact and business value.
  • Productionalize your solution:

    broaden your technology expertise by setting up infrastructure on major cloud providers, leveraging new managed services for AI/AIOps/MLOps, solving challenging setups (e.g. LLMs on-premise)
  • Support AI adoption:

    be at heart of AI adoption among our customers, creating UI/UX prototypes of the brand-new solutions and products, proving the value and feasibility.
  • University degree in Computer Science or related technical field

  • 2+ years professional expertise with software engineering and Devops

  • Proficiency in full-stack development in Node.js and React

  • Hands-on experience with DevOps in cloud infrastructure (Azure, AWS), CI/CD pipelines

  • Experience with database management (SQL and/or noSQL)

  • A strong understanding of security best practices and performance optimization for scalable products
  • Self-motivated with an ownership mindset to take initiative and deliver results in a fast-paced environment

Nice to have:

  • Experience with AI tools, frameworks, and APIs (e.g., OpenAI, Hugging Face, LangChain).
  • Experience with No-code/Low-code AI tools.
  • Familiarity with integrating LLMs into practical use cases in real-world applications.
  • Experience with Infrastructure as a Code solutions such as Terraform
  • Certifications in cloud platforms like Azure of AWS.

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