Python Backend Engineer

Role: Python Backend Engineer Working Location: San Jose, CA – Onsite and In-Person Interview In-Person Interview Location: Santa Clara, CA l Austin, TX l Washington DC. Contract: Longterm. Experience: 10 years Job Description Mandatory Skills: Language: Expert-level proficiency in Python (3.10+ preferred). Frameworks: Deep experience with Fast API, Django AI Tooling: Familiarity with Lang Chain, Llama Index, or similar frameworks for agentic workflows. Databases: Strong knowledge of SQL (PostgreSQL) and NoSQL (Redis, MongoDB), plus experience with Vector Databases (Pinecone, we aviate). Infrastructure: Proficiency with Docker, AWS/Google Cloud Platform, and asynchronous task queues. Role Overview We are looking for a Python Backend Engineer 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 Fast API, Django AI Tooling: Familiarity with Lang Chain, Llama Index, or similar frameworks for agentic workflows. Databases: Strong knowledge of SQL (PostgreSQL) and NoSQL (Redis, MongoDB), plus experience with Vector Databases (Pinecone, we aviate).