Python Engineer

Inherent Technologies · San Jose, CA
LinkedIn

Posted

Jul 08, 2026 (7d ago)

Seniority

Lead

Work Model

Not Specified

Type

Not Specified

Category

Backend

Salary

Not specified

Skills

AWS Django Docker FastAPI Flask GCP LangChain MongoDB Pinecone PostgreSQL Python Redis SQL Weaviate

Description

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 JD Job Description: Python Developer 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 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/GCP, and asynchronous task queues