Role : Associate Architect Software Development.

Experience : 6 to 9 Years.

Work Location : Mumbai / Bangalore.

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., 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., 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