Python Backend Engineer
Tekshapers Inc
San Jose, United States of America
6 days ago
Role details
Contract type
Temporary contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
EnglishJob location
San Jose, United States of America
Tech stack
API
Artificial Intelligence
Amazon Web Services (AWS)
User Authentication
Databases
Django
Python
PostgreSQL
MongoDB
Routing
NoSQL
OAuth
Redis
Openid Connect
Standard Sql
JSON Web Token
Systems Integration
Google Cloud Platform
Flask
Large Language Models
Backend
FastAPI
Api Design
Api Gateway
Docker
Job description
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.
Requirements
- 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