Senior Software Engineer(Python + React)

Job description

**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 kn owledge 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. **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. **Good to Have Skills:** **AI/ML Integration -** - Proficiency in **integrating LLMs** (e.g., Azure OpenAI, HuggingFace Transformers, Nvidia NIMs) into complex backend systems and workflows. - Strong practical understanding and application of **prompt engineering** techniques, designing and utilizing agentic frameworks (e.g., LangChain, LlamaIndex), and implementing effective tool calling mechanisms. - Demonstrable experience in designing and implementing Retrieval-Augmented Generation (RAG) pipelines, including the selection and utilization of **Vector Databases** (e.g., Milvus, PGVector, Pinecone). - Familiarity with MLOps principles and tools for model deployment and serving (e.g., NVIDIA Triton, KServe).