Python Backend Engineer – AI Orchestration & RAG

Machine Intelligence Technologies, LLC; Dallas, Northern (TX, KY); Hybrid; USD 140,000 - 180,000; Full time

Job summary

Machine Intelligence Technologies LLC is seeking a senior backend engineer to architect and maintain the AI agent infrastructure. You will develop APIs, scrapers, and database connectors that power autonomous agents and implement orchestration for complex reasoning across multi-agent systems.

The role emphasizes building scalable data ingestion and retrieval pipelines, asynchronous task management, and secure API design while enforcing safety guardrails in AI workflows.

Qualifications

• 8+ years of professional Python experience with FastAPI, Pydantic, and Asyncio.
• Hands-on experience with LangChain or LlamaIndex.
• Proficiency in PostgreSQL and vector databases.
• Experience deploying containerized applications using Docker and Kubernetes on AWS, Azure, or GCP.
• Mastery of Git and CI/CD practices.

Responsibilities

• Develop and maintain the backend tools, APIs, scrapers, and database connectors used by AI agents.
• Implement orchestration using frameworks like LangChain, LangGraph, or CrewAI for complex reasoning and multi-agent coordination.
• Build and optimize RAG pipelines with data ingestion and retrieval systems using Vector Databases.
• Handle asynchronous task management for long-running AI reasoning cycles using FastAPI/Asyncio and task queues like Celery or Redis.
• Design secure, high-performance REST or GraphQL APIs interfacing between backend and frontend.
• Implement backend-level safety and guardrails to keep autonomous agent actions within secure and ethical boundaries.

Skills

Python

Asyncio

FastAPI

Pydantic

LangChain

LlamaIndex

PostgreSQL

Vector Databases

Docker

Kubernetes

AWS

Azure

GCP

Git

CI/CD

Tools

LangChain

LlamaIndex

PostgreSQL

Vector Databases

Docker

Kubernetes

AWS

Azure

GCP

Git

CI/CD

Job description

Machine Intelligence Technologies LLC is seeking a senior backend engineer to architect and maintain the AI agent infrastructure. You will develop APIs, scrapers, and database connectors that power autonomous agents and implement orchestration for complex reasoning across multi-agent systems.

The role emphasizes building scalable data ingestion and retrieval pipelines, asynchronous task management, and secure API design while enforcing safety guardrails in AI workflows.