Agentic AI with Python Backend Engineer Job Location/Client Location (with City & State): San Jose, CA (Local Only No customer interview)
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
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 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
For applications and inquiries, contact: [email protected]
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