Senior Software Developer

Posted Yesterday
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Mumbai, Maharashtra, IND
In-Office
Senior level
Artificial Intelligence • Big Data • Machine Learning
The Role
The Senior Software Developer will design and develop scalable backend services and APIs, optimize data models, manage AI integrations, and mentor junior engineers in an agile environment.
Summary Generated by Built In

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 : Senior Software Developer

Experience : 3 to 6 Years
Work Location : Mumbai / Bangalore / Trivandrum

Overview:

We are building scalable Agentic AI platforms, powering 50+ enterprise use cases using LLM-based agents. We’re looking for a Senior Software Developer with strong backend (Python), DevOps, and AI integration skills to help build robust services, APIs, and front-end components that enable agent execution, orchestration, and user interaction.

Job Responsibilities:

  • Lead design and development of scalable backend services & APIs using Python and FastAPI.

  • Optimize data models for relational (PostgreSQL, MySQL) & NoSQL databases.

  • Develop resilient asynchronous data pipelines, event-driven systems, and caching (Redis).

  • Develop intuitive UI components for agent configuration & visualization (JavaScript and React).

  • Structure and style internal interfaces effectively (HTML5, CSS3).

  • 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.

  • Drive robust DevOps practices: expert Git, Docker, and CI/CD pipeline implementation.   

  • 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) -

  • Expert in Python with production experience architecting and developing scalable backend services using FastAPI for high-performance RESTful APIs and WebSocket-based communication.

  • Proficient in leveraging ORMs, designing robust relational database schemas (PostgreSQL, MySQL), and effectively utilizing caching mechanisms like 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) -

  • Expert in version control with Git and containerization using 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.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Skills Required

  • Expert in Python with production experience
  • Proficient in PostgreSQL and MySQL
  • Strong experience with Git and Docker
  • Experience with FastAPI for high-performance RESTful APIs
  • Proficient in agile development methodologies
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The Company
HQ: Marlborough, MA
3,494 Employees
Year Founded: 2013

What We Do

Quantiphi is an award-winning AI-first digital engineering company driven by the desire to solve transformational problems at the heart of business. Quantiphi solves the toughest and complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve quantifiable business impact at unprecedented speed.

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