Python Backend Engineer

Job Title: Python Backend Engineer

Location: San Jose, CA, USA

Duration: Contract

Job Description:

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

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/GCP, and asynchronous task queues