AI Developer with Python

Robotic Technologies Automation; Phoenix (AZ); On-site; USD 100,000 - 160,000; Full time

Job summary

Robotic Technologies Automation is seeking a Python AI Developer to design and build AI-driven applications, data pipelines, and microservices. You will implement Retrieval-Augmented Generation and orchestrate AI agents using LangChain, LangGraph, or CrewAI, while integrating LLMs with vector stores and external REST APIs.

The role requires 3+ years of Python software experience, GenAI/NLP expertise, and proficiency with FastAPI/Flask/Django.

Qualifications

• 3+ years of software experience with strong Python proficiency.
• Hands-on GenAI, NLP, prompt engineering, and vector stores.
• Knowledge of web frameworks (FastAPI/Flask/Django).
• Familiarity with MLOps, Git, and containerization.

Responsibilities

• Design and build AI-driven applications, data pipelines, and microservices using Python.
• Implement Retrieval-Augmented Generation (RAG) and orchestrate AI agents with LangChain/LangGraph/CrewAI.
• Integrate LLMs with enterprise vector databases and external REST APIs.
• Optimize backend performance and deploy production-ready code via Docker and cloud platforms (AWS, Azure, GCP).

Skills

Python

GenAI

NLP

API development

Docker

Cloud platforms

LangChain

Git

Tools

LangChain

LangGraph

CrewAI

FastAPI

Flask

Django

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Description: A Python AI Developer job description requires strong programming skills, Generative AI expertise, and backend API development. Key requirements typically include Python proficiency, LLM frameworks, and cloud deployment.

Key Responsibilities

• Design and build AI-driven applications, data pipelines, and microservices using Python.
• Implement Retrieval-Augmented Generation (RAG) and orchestrate AI agents using tools like LangChain, LangGraph, or CrewAI.
• Integrate Large Language Models (LLMs) with enterprise vector databases and external REST APIs.
• Optimize backend performance and deploy production-ready code via Docker and cloud platforms (AWS, Azure, GCP).

Required Skills

• 3+ years of total software experience with deep proficiency in Python.
• Hands-on experience with GenAI, NLP, prompt engineering, and vector stores.
• Knowledge of web frameworks such as FastAPI, Flask, or Django.
• Familiarity with MLOps practices, Git version control, and containerization

We are an equal opportunity employer.

All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs.

We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.