Python Developer
Listed on 2026-06-21
-
Software Development
Backend Developer, Python, AI Engineer (Applied/Software), Cloud Engineer - Software
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 Lang Chain, Llama Index, or similar frameworks for agentic workflows.
Databases:
Strong knowledge of SQL (PostgreSQL) and No
SQL (Redis, MongoDB), plus experience with Vector Databases (Pinecone, Weaviate).
Infrastructure:
Proficiency with Docker, AWS/GCP, and asynchronous task queues
- 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 Lang Chain, Llama Index, or similar frameworks for agentic workflows. - Databases:
Strong knowledge of SQL (PostgreSQL) and No
SQL (Redis, MongoDB), plus experience with Vector Databases (Pinecone, Weaviate). - Infrastructure:
Proficiency with Docker, AWS/GCP, and asynchronous task queues.
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