Python Engineer

Resource Logistics, Inc.

San Jose, CA

JOB DETAILS
SKILLS
Application Programming Interface (API), Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Authentication, Communication Skills, Customer/Client Research, Django, Flask, High Throughput, Identity Data Management, Information/Data Security (InfoSec), Machine Tool, MongoDB, NoSQL, OAuth, OpenID, PostgreSQL, Python Programming/Scripting Language, Redis, SQL (Structured Query Language), Scalable System Development, Security Protocols, Software Engineering
LOCATION
San Jose, CA
POSTED
20 days ago
Python Engineer
San Jose, CA, USA

Local profiles only followed by in-person Interview at onsite in Santa Clara, CA client office


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 Clienthitectural 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: Clienthitect 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

About the Company

R

Resource Logistics, Inc.

COMPANY SIZE
500 to 999 employees
INDUSTRY
Medical Devices and Supplies