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Hiring! W2 Contract - Python 3.10 Engineer - San Jose, CA

San Jose, CA, US • Posted 1 hour ago • Updated 59 minutes ago

Contract W2

On-site

Fitment

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Job Details

Skills

SQL
Python
Django
Flask
Docker
FastAPI

Summary

No of openings/positions	6
Job Title/Role	Python Engineer
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
JD	Job Description: Python Developer Role Overview: We are looking for a Python Developer 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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10439537
Position Id: 2026-2693
Posted 1 hour ago

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