Senior Python Backend Engineer for AI Orchestration

Cloud Analytics Technologies, LLC; Dallas (TX); On-site; USD 120,000 - 150,000; Full time

Job summary

A leading tech company in Dallas, TX, is seeking a backend developer to create tools for AI agents. The ideal candidate will have over 8 years of experience in Python, specializing in FastAPI and Asyncio, as well as expertise in deploying applications using Docker and Kubernetes. Responsibilities include developing APIs, managing asynchronous tasks, and optimizing data retrieval systems. This role offers competitive compensation and a dynamic work environment.

Qualifications

• 8+ years of professional experience with Python, specifically with FastAPI, Pydantic, and Asyncio.
• Hands-on experience with AI frameworks like LangChain or LlamaIndex.
• Proficiency in PostgreSQL and experience with Vector Databases.
• Experience deploying containerized applications using Docker and Kubernetes on AWS, Azure, or GCP.

Responsibilities

• Develop and maintain backend tools (APIs, scrapers, database connectors) for AI agents.
• Implement complex reasoning chains and multi-agent coordination using frameworks.
• Optimize data ingestion and retrieval systems using Vector Databases.
• Manage long-running AI reasoning cycles using asynchronous Python.
• Design and implement secure, high-performance REST or GraphQL APIs.
• Implement backend-level validation and guardrails for agent actions.

Skills

Python expertise

FastAPI

Asynchronous programming

Database management

Docker

Kubernetes

Git

Tools

PostgreSQL

Vector Databases

LangChain

LlamaIndex

Job description

A leading tech company in Dallas, TX, is seeking a backend developer to create tools for AI agents. The ideal candidate will have over 8 years of experience in Python, specializing in FastAPI and Asyncio, as well as expertise in deploying applications using Docker and Kubernetes. Responsibilities include developing APIs, managing asynchronous tasks, and optimizing data retrieval systems. This role offers competitive compensation and a dynamic work environment.