While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!
Role : Associate Architect - Software Development
Experience : 6 to 9 Years
Work Location : Mumbai / Bangalore
Job Responsibilities:
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Collaborate in the design and development of scalable backend services and APIs using Python and FastAPI
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Build and optimize data models for relational (PostgreSQL, MySQL) & NoSQL databases.
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Develop resilient asynchronous data pipelines, event-driven systems, and caching (Redis).
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Contribute to the development of user-facing components for agent configuration and data visualization using JavaScript and React.
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Spearhead integration of LLMs (OpenAI, Azure OpenAI, HuggingFace, Nvidia NIMs) for autonomous agents.
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Design and refine advanced RAG pipelines and Vector DBs (Milvus, PGVector, Pinecone).
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Champion prompt engineering, agentic frameworks (LangChain, LlamaIndex) and tool-calling.
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Support DevOps initiatives by using Git, Docker, and maintaining CI/CD pipelines.
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Promote agile methodologies, conduct code reviews, and maintain high-quality documentation.
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Collaborate with cross-functional teams (product, ML, design) to deliver technical solutions.
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Mentor junior engineers, contribute to technical strategy, and drive innovation.
Job Requirements:
Back-End Development (Required) -
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Proven experience in Python development, with a track record of building scalable backend services using FastAPI for RESTful APIs and WebSocket communications.
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Solid understanding of ORMs, relational database schema design (PostgreSQL, MySQL), and effective use of caching layers (Redis).
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Working knowledge of system integration patterns and non-relational database technologies (e.g., MongoDB, Cassandra) for specific use cases within the AI platform.
DevOps & Software Engineering Practices (Required) -
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Proficient in version control with Git and containerization with Docker
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Strong experience in designing, implementing, and advocating for comprehensive unit tests and other automated testing strategies; commitment to TDD/BDD principles is highly desirable.
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Proficient in agile development methodologies and conducting thorough, constructive code reviews.
AI/ML Integration (Desired) -
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Experience architecting end-to-end AI applications and integrating LLMs into backend workflows.
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Practical knowledge of prompt engineering, agentic frameworks (LangChain, LlamaIndex), and tool-calling implementations.
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Background in designing and deploying RAG pipelines, with experience selecting and using Vector Databases (Milvus, PGVector, Pinecone).
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Awareness of MLOps practices and tools for model deployment and serving (e.g., NVIDIA Triton, KServe)
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Understanding of Model Context Protocol (MCP) and Agent-to-Agent Toolkit for advanced agentic workflows.
Front-End Development (Desired) -
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Proficient in React (ES6+), JavaScript and TypeScript for developing intuitive and functional user-facing components specifically for agent configuration, interaction, and data visualization.
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Solid understanding of HTML5 and CSS3 for structuring and styling these internal interfaces effectively.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
