Python Backend Engineer

TechDigital

San Jose, CA

JOB DETAILS
SKILLS
Amazon Web Services (AWS), Application Programming Interface (API), Architectural Services, Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Authentication, Communication Skills, Customer/Client Research, Django, Docker, Flask, GCP (Good Clinical Practices), 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, System Architecture
LOCATION
San Jose, CA
POSTED
30+ days ago
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, 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

About the Company

T

TechDigital

COMPANY SIZE
100 to 499 employees
INDUSTRY
Other/Not Classified