Python Engineer

San Jose, CA, US • Posted 1 day ago • Updated 1 day ago
Contract Corp To Corp
Contract W2
On-site
$50 - $70/hr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Python developer
  • Django

Summary

Hi,

We are hiring for Python Engineer at San Jose, CA Onsite

Role: Python Engineer

Location: San Jose, CA

Duration: Contract

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 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: 10200946b
  • Position Id: 9005575
  • Posted 1 day ago
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SM

Sapna More

Recruiter @ Nityo Infotech Corporation
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