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Python Full Stack Developer RAG OpenAI Hybrid

Job in Phoenix, Maricopa County, Arizona, 85003, USA
Listing for: S R INTERNATIONAL INC
Full Time position
Listed on 2026-03-03
Job specializations:
  • Software Development
    AI Engineer, Software Engineer, Python, Full Stack Developer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

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Job Title:

Python Full Stack Developer (RAG, OpenAI) – Hybrid

Job Code: AZDES – 10024

Client: State of Arizona – AZDES (DTS)

Location: Phoenix, AZ (Hybrid – 1–2 days onsite per week)

Work Address: 1400 W. Washington St., Phoenix, AZ 85007

Contract Duration: Through 07/30/2026

Hours: Monday–Friday, 8:00 AM – 5:00 PM (40 hours/week)

Interview: In-person (within 1 week of posting close date)

Background Check & Drug Screening: Required (Hire Right)

Start Date: Must be able to start within 2 weeks of offer

📍 Important Note
  • Local Phoenix candidates only
  • Resume must clearly mention current location
  • Candidates must be local at time of submission
  • Available for in-person interviews
  • Hybrid role (1–2 days onsite weekly)
🔧 Position Overview

AZDES is seeking an experienced Python Full Stack Developer with hands‑on experience in LLMs, RAG implementation, and OpenAI integrations
. This role focuses on building AI‑powered enterprise solutions that integrate Retrieval‑Augmented Generation (RAG) pipelines with secure, scalable full‑stack applications.

✅ Required Skills (Must Be on Resume)
  • Python
  • Java Script
  • Angular
  • Large Language Models (LLMs)
  • RAG Pipeline (Retrieval-Augmented Generation)
  • OpenAI integration
⭐ Preferred Skills
  • SQL / PostgreSQL
  • RESTful APIs
  • CI/CD pipelines
  • Docker
  • React
  • Microsoft Azure Cloud
🎯 Key Responsibilities
  • Develop and implement RAG pipelines to enhance LLM responses using enterprise data
  • Perform prompt engineering to optimize AI model performance
  • Design and develop secure REST APIs integrating OpenAI models
  • Ensure compliance with Responsible AI, security, and data privacy standards
  • Collaborate with cross‑functional teams to build scalable AI‑driven applications
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