Hybrid Python AI Developer for Azure Integrations

Mondo

New Brunswick (NJ)

Hybrid

USD 96,000 - 165,000

Part time

4 days ago
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Benefits offered by this job

Health insurance
Dental insurance
Vision insurance
401K

Job summary

Mondo is seeking a Python AI Developer for a hybrid role, with remote work and occasional onsite in NY/NJ/DC/Philly. The contract begins ASAP and runs through June, with strong potential extension to December.

The role focuses on integrating AI models using Python and Azure services to build and deploy AI-powered applications. Key requirements include 2–4 years of software engineering, Azure ecosystem experience, and production-grade AI model deployment.

Qualifications

  • 2–4 years of professional software engineering experience.
  • Hands-on experience with the Azure ecosystem.
  • Experience integrating or deploying AI/ML models into production apps.
  • Experience working with APIs and automation.
  • Experience building AI-powered applications (not research-based).
  • Ability to independently execute and deliver working solutions quickly.

Responsibilities

  • Write Python code to integrate and utilize existing AI models
  • Connect applications to Azure services and cloud resources
  • Integrate and manage AI APIs (OpenAI, Azure AI, or internal models)
  • Embed AI functionality into internal business tools and workflows
  • Build lightweight automation and AI-enabled internal applications
  • Troubleshoot model usage and integration issues
  • Rapidly deliver iterative AI solutions aligned with business objectives

Skills

Azure ecosystem
AI/ML deployment
APIs & automation
Python development
Independent delivery

Job description

Mondo is seeking a Python AI Developer for a hybrid role, with remote work and occasional onsite in NY/NJ/DC/Philly. The contract begins ASAP and runs through June, with strong potential extension to December.

The role focuses on integrating AI models using Python and Azure services to build and deploy AI-powered applications. Key requirements include 2–4 years of software engineering, Azure ecosystem experience, and production-grade AI model deployment.

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