Job Title: Python Engineer

Work Location: San Jose, CA

Work Type: Onsite.


*Note: Looking for W2 candidate only *


Job Description:


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.


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


Core Responsibilities

  • Having Experience 6+years of Python Engineer exp.
  • 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.

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