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Scalable Backend Development Specialist

2 weeks ago

Bengaluru, Karnataka, India beBeeBackendServices Full time ₹ 1,00,00,000 - ₹ 1,50,00,000

Job Title:

Backend Services Architect - Scalable Design

About the Role:

We are seeking a seasoned professional to lead the development of scalable backend services and APIs using Python and FastAPI.

This is an exceptional opportunity for you to leverage your technical expertise in designing and developing robust backend services and APIs, and contribute to our team's success at Quantiphi Analytics in Bengaluru, India.

Key Responsibilities:

  • Collaborate with cross-functional teams to design and develop robust backend services and APIs using Python and FastAPI
  • Build and optimize data models for relational (PostgreSQL, MySQL) & NoSQL databases
  • Develop resilient asynchronous data pipelines, event-driven systems, and caching (Redis)
  • Contribute to the development of user-facing components for agent configuration and data visualization using JavaScript and React
  • Spearhead integration of LLMs (OpenAI, Azure OpenAI, HuggingFace, Nvidia NIMs) for autonomous agents
  • Design and refine advanced RAG pipelines and Vector DBs (Milvus, PGVector, Pinecone)
  • Champion prompt engineering, agentic frameworks (LangChain, LlamaIndex) and tool-calling
  • Support DevOps initiatives by using Git, Docker, and maintaining CI/CD pipelines
  • Promote agile methodologies, conduct code reviews, and maintain high-quality documentation
  • Mentor junior engineers, contribute to technical strategy, and drive innovation

Requirements:

  • Proven experience in Python development, with a track record of building scalable backend services using FastAPI for RESTful APIs and WebSocket communications
  • Solid understanding of ORMs, relational database schema design (PostgreSQL, MySQL), and effective use of caching layers (Redis)
  • Working knowledge of system integration patterns and non-relational database technologies (e.g., MongoDB, Cassandra) for specific use cases within the AI platform
  • Proficient in version control with Git and containerization with Docker
  • Strong experience in designing, implementing, and advocating for comprehensive unit tests and other automated testing strategies; commitment to TDD/BDD principles is highly desirable
  • Proficient in agile development methodologies and conducting thorough, constructive code reviews
  • Experience architecting end-to-end AI applications and integrating LLMs into backend workflows is desired
  • Practical knowledge of prompt engineering, agentic frameworks (LangChain, LlamaIndex), and tool-calling implementations is desired
  • Background in designing and deploying RAG pipelines, with experience selecting and using Vector Databases (Milvus, PGVector, Pinecone) is desired
  • Awareness of MLOps practices and tools for model deployment and serving is desired
  • Understanding of Model Context Protocol (MCP) and Agent-to-Agent Toolkit for advanced agentic workflows is desired
  • Proficient in React (ES6+), JavaScript, and TypeScript for developing intuitive and functional user-facing components specifically for agent configuration, interaction, and data visualization is desired
  • Solid understanding of HTML5 and CSS3 for structuring and styling these internal interfaces effectively is desired