Back End Developer

2 weeks ago

Bengaluru, Karnataka, India NazzBuild Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Company Description

NazzBuild is a powerful no-code/low-code AI-native automation platform that empowers users to build full-scale web and mobile applications, create AI agents, and generate multi-context workflows (MCP) using natural language prompts—all within a single unified environment. The platform supports integration with any frontend, backend, or DBMS, development across any framework, custom dataset generation for LLM training, MCP deployment for multi-context, multi-agent systems, and full-stack AI application deployment. nazzbuild is a part of FAC INFOSEC PRIVATE LIMITED.

Role Description

This is an on-site, full-time role located in Bengaluru for a Co-Founder (Backend & AI Infrastructure) with 5+ years of experience. The Co-Founder will lead the backend architecture and development of AI-native automation products. This role focuses on building scalable, secure, and high-performance backend systems, while collaborating closely with frontend and AI/ML teams.

Key responsibilities include:

  • Designing and developing backend systems using , Python, and TypeScript.
  • Building and maintaining APIs (REST, GraphQL, gRPC) for AI and automation workflows.
  • Integrating with frontend applications , ) to ensure seamless user experiences.
  • Setting up and managing databases (SQL, NoSQL, Vector DBs).
  • Deploying and optimizing AI/ML models in production environments.
  • Implementing DevOps practices (Docker, Kubernetes, CI/CD pipelines).
  • Ensuring backend scalability, performance, and reliability.
  • Contributing to product strategy, technical roadmap, and team leadership.

Qualifications

  • 5+ years of professional experience in backend development and system architecture.
  • Strong expertise in , Python, and TypeScript.
  • Solid knowledge of frontend integration using and
  • Experience with databases: PostgreSQL/MySQL, MongoDB, Redis, and vector databases (Pinecone, Weaviate, pgvector).
  • Strong understanding of APIs (REST, GraphQL, gRPC) and real-time systems.
  • Hands-on experience with cloud platforms (AWS, GCP, Azure).
  • Proficiency with DevOps, CI/CD, containerization (Docker/Kubernetes).
  • Familiarity with AI/ML model serving frameworks (FastAPI, Flask, TorchServe, TensorFlow Serving).
  • Strong problem-solving skills, system optimization expertise, and architectural thinking.
  • Entrepreneurial mindset with leadership abilities and experience in fast-paced environments.
NOTE : ONLY BANGALURU APPLICANT APPLY

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