Python Developer

1. Local profiles only followed by in-person Interview at onsite in Santa Clara,CA HCL office 2. Please submit EAD & H1B profiles with Prevailing Wages level 2 & above only. Client Update: Please have people with minimum 10 years of full stack application development , we need seniors now . Do make sure we are not getting candidates who have worked on the Data side of development as we saw in the weekend drive most of them were from the data side and had no web application development experience Job Title/Role Python Engineer San Jose, CA/ Onsite Mandatory Skills Language: Expert-level proficiency in Python (3.10+ preferred). Frameworks: Deep experience with FastAPI, Django AI 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 queues JD Job Description: Python Developer Role Overview: 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 Core Responsibilities 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 Skills Language: Expert-level proficiency in Python (3.10+ preferred). Frameworks: Deep experience with FastAPI, Django AI 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