Python Developer

Job Title: Python EngineerWork Location: San Jose, CAWork Type: Onsite.***Note: Looking for W2 candidate only***Job Description:We are looking for a Python Developer to build the backbone of our platform. You will be responsible for creating high-performance APIs, integrating advanced AI agent logic, and ensuring our infrastructure remains rock-solid as we scale. If you enjoy solving complex architectural puzzles and want to work at the intersection of traditional backend engineering and AI.Mandatory Skills:Language: Expert-level proficiency in Python (3.10+ preferred).Frameworks: Deep experience with FastAPI, DjangoAI Tooling: Familiarity with LangChain, LlamaIndex, or similar frameworks for agentic workflows.Databases: Strong knowledge of SQL (PostgreSQL) and NoSQL (Redis, MongoDB), plus experience with Vector Databases (Pinecone, Weaviate).Infrastructure: Proficiency with Docker, AWS/GCP, and asynchronous task queuesCore Responsibilities Having Experience 6+years of Python Engineer exp. Scalable API Development: Design, build, and maintain robust, high-throughput APIs (FastAPI, Django, or Flask) capable of handling millions of requests.Agent Logic Integration: Architect the backend systems that power our AI agents, managing long-running tasks, state persistence, and seamless communication between LLMs and our core services.Authentication & Security: Implement and manage secure identity protocols (OAuth2, JWT, OpenID Connect) to protect user data and internal endpoints.Routing & Orchestration: Design efficient request routing and service communication patterns using tools like API Gateways, or Service Meshes.Required Technical SkillsLanguage: Expert-level proficiency in Python (3.10+ preferred).Frameworks: Deep experience with FastAPI, DjangoAI Tooling: Familiarity with LangChain, Llama Index, or similar frameworks for agentic workflows.Databases: Strong knowledge of SQL (PostgreSQL) and NoSQL (Redis, MongoDB), plus experience with Vector Databases (Pinecone, Weaviate).Infrastructure: Proficiency with Docker, AWS/GCP, and asynchronous task queues.