Hiring! W2 Employment: Python Backend Engineer (Only Local Candidate San Jose, CA) // Onsite

San Jose, CA, US • Posted 2 hours ago • Updated 30 minutes ago
Contract W2
On-site
Fitment

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Job Details

Skills

  • SQL
  • Python
  • Django
  • FastAPI
  • Vector

Summary

Job Description: Python Backend Engineer
Job Location/Client Location (with City & State): San Jose,CA, USA

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

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: 2026-2689
  • Posted 2 hours ago
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