The role involves designing and developing scalable backend services, optimizing data models, and integrating AI with a focus on collaboration, mentorship, and agile methodologies.
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!
Job Responsibilities:
Collaborate in the design and development of scalable 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.
Collaborate with cross-functional teams (product, ML, design) to deliver technical solutions.
Mentor junior engineers, contribute to technical strategy, and drive innovation.
Job Requirements:
Back-End Development (Required) -
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.
DevOps & Software Engineering Practices (Required) -
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.
AI/ML Integration (Desired) -
Experience architecting end-to-end AI applications and integrating LLMs into backend workflows.
Practical knowledge of prompt engineering, agentic frameworks (LangChain, LlamaIndex), and tool-calling implementations.
Background in designing and deploying RAG pipelines, with experience selecting and using Vector Databases (Milvus, PGVector, Pinecone)
Awareness of MLOps practices and tools for model deployment and serving (e.g., NVIDIA Triton, KServe)
Understanding of Model Context Protocol (MCP) and Agent-to-Agent Toolkit for advanced agentic workflows.
Front-End Development (Desired) -
Proficient in React (ES6+), JavaScript and TypeScript for developing intuitive and functional user-facing components specifically for agent configuration, interaction, and data visualization.
Solid understanding of HTML5 and CSS3 for structuring and styling these internal interfaces effectively.
Collaborate in the design and development of scalable 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.
Collaborate with cross-functional teams (product, ML, design) to deliver technical solutions.
Mentor junior engineers, contribute to technical strategy, and drive innovation.
Job Requirements:
Back-End Development (Required) -
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.
DevOps & Software Engineering Practices (Required) -
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.
AI/ML Integration (Desired) -
Experience architecting end-to-end AI applications and integrating LLMs into backend workflows.
Practical knowledge of prompt engineering, agentic frameworks (LangChain, LlamaIndex), and tool-calling implementations.
Background in designing and deploying RAG pipelines, with experience selecting and using Vector Databases (Milvus, PGVector, Pinecone)
Awareness of MLOps practices and tools for model deployment and serving (e.g., NVIDIA Triton, KServe)
Understanding of Model Context Protocol (MCP) and Agent-to-Agent Toolkit for advanced agentic workflows.
Front-End Development (Desired) -
Proficient in React (ES6+), JavaScript and TypeScript for developing intuitive and functional user-facing components specifically for agent configuration, interaction, and data visualization.
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!
Top Skills
Docker
Fastapi
Git
JavaScript
Langchain
Llamaindex
Milvus
MySQL
Pgvector
Pinecone
Postgres
Python
React
Redis
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