What are the responsibilities and job description for the Hiring! W2 Contract - Python 3.10 Engineer - San Jose, CA position at PropelSys Technologies LLC.?
| No of openings/positions | 6 |
| Job Title/Role | Python Engineer |
| 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/Google Cloud Platform, 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/Google Cloud Platform, and asynchronous task queues |