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Python Backend Engineer - In- Person - W2 Role - Remote

Job

Incorporan Inc

Remote

Full-Time

Posted 3 days ago (Updated 1 day ago) • Actively hiring

Expires 7/25/2026

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Job Description

Job Description:
Python Backend Engineer
Location/Client Location:
San Jose,CA, USA (Remote) Local profiles only; followed by in-person interview onsite Open for
OPTEAD/L1/L2 EAD/ EAD
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.