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Full Stack Engineer (AngularJS) + LLM, RAG

Full Stack Engineer (AngularJS) + LLM, RAG

ApTaskThane, IN
3 hours ago
Job description

Full Stack Engineer (Angular + NodeJS + Tailwind + MySQL + LLM / RAG)

šŸ“ Location : Pune, India (Onsite)

šŸ’¼ Experience : 5+ Years

šŸŒ Remote : Considered only for exceptional candidates

About the Role

We are seeking a Full Stack Engineer with deep expertise in Angular, NodeJS, Tailwind CSS, and MySQL , and working knowledge of LLM, RAG, and Vibe coding tools . This role is ideal for engineers who can independently build scalable, high-performance applications and are excited about integrating AI-driven workflows into real-world products.

Key Responsibilities

  • Design, develop, and maintain full-stack web applications using Angular (frontend) and NodeJS (backend) .
  • Build clean, responsive, and reusable UI components using Tailwind CSS .
  • Develop and optimize RESTful APIs and database schemas in MySQL .
  • Implement and experiment with LLM (Large Language Model) and RAG (Retrieval Augmented Generation) -based functionalities.
  • Use Vibe coding or similar AI-assisted development tools to speed up and enhance code quality.
  • Collaborate with cross-functional teamsā€”product, design, and AIā€”to deliver new features efficiently.
  • Ensure performance, scalability, and security across all services.
  • Participate in peer code reviews and provide technical mentorship to junior developers.

Required Skills & Qualifications

  • 5+ years of hands-on full-stack development experience.
  • Expertise in Angular , NodeJS , Tailwind CSS , and MySQL .
  • Proven experience integrating AI features (LLMs, RAG pipelines) into applications.
  • Hands-on experience using Vibe coding or similar AI dev tools.
  • Solid understanding of API architecture , web performance optimization, and secure coding practices.
  • Experience with Git , CI / CD , and deployment workflows.
  • Strong analytical and problem-solving skills.

    • Good to Have

  • Knowledge of TypeScript , GraphQL , or Docker .
  • Exposure to cloud environments (AWS, GCP, Azure) .
  • Experience working in AI or startup ecosystems .

    • Why Join Us

  • Work on cutting-edge AI + full-stack projects.
  • Join a fast-paced, innovative team solving real-world problems.
  • Competitive compensation and long-term career growth.
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