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).
