Python Backend Engineer — AI Orchestration & Data Pipelines

Robotics Technologies LLC; Dallas (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

A leading robotics firm based in Dallas is seeking an experienced engineer to develop and maintain critical backend tools for AI agents. The role requires 8+ years of Python expertise, including proficiency in frameworks such as FastAPI and experience with AI systems like LangChain. Ideal candidates will have skills in database management with PostgreSQL and cloud deployment using Docker and Kubernetes. This role offers a chance to work on cutting-edge technologies in a dynamic 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 on AWS, Azure, or GCP.

Responsibilities

• Develop and maintain backend tools that AI agents use.
• Implement complex reasoning chains and multi-agent coordination.
• Build and optimize data ingestion and retrieval systems.
• Manage long-running AI reasoning cycles with asynchronous Python.
• Design and implement secure REST or GraphQL APIs.
• Implement backend-level validation and guardrails.

Skills

Python expertise

Experience with FastAPI

Knowledge of LangChain

Database management

Docker proficiency

Understanding of cloud services

Git mastery

Tools

FastAPI

PostgreSQL

Docker

Kubernetes

Job description

A leading robotics firm based in Dallas is seeking an experienced engineer to develop and maintain critical backend tools for AI agents. The role requires 8+ years of Python expertise, including proficiency in frameworks such as FastAPI and experience with AI systems like LangChain. Ideal candidates will have skills in database management with PostgreSQL and cloud deployment using Docker and Kubernetes. This role offers a chance to work on cutting-edge technologies in a dynamic environment.