Role: Python Backend Engineer
Working Location: San Jose, CA – Onsite and In-Person Interview
In-Person Interview Location: Santa Clara, CA
Contract: Longterm.
Experience:- 10 - 20 Years of Experience,
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).
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