Specialty Software Engineer 4 (Fullstack AI)

TL;DR

Specialty Software Engineer 4 (Fullstack AI): Designing, developing, and deploying advanced software solutions using Python, React, and cloud architectures with an accent on machine learning and conversational AI. Focus on building LLM-integrated chatbots, optimizing AI models, and implementing scalable DevOps pipelines in Azure, AWS, or GCP.

Location: Hybrid. Preferred: Irving, TX. Alternates: Minneapolis, Chandler, Charlotte.

Salary: $90–$92/hr on W2

Company

hirify.global is a leading provider of information technology and workforce solutions operating across the U.S. and Canada.

What you will do

• Develop and maintain full-stack applications using Python for backend and React for frontend.
• Design and implement REST APIs, microservices, and distributed systems.
• Leverage Microsoft Azure, AWS, and GCP for software development and deployment.
• Develop machine learning solutions, including advanced AI modeling, evaluation, optimization, and deployment.
• Build and integrate chatbots and conversational AI solutions.
• Implement DevOps practices, including CI/CD pipelines, infrastructure as code, and automated deployments.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent experience.
• Strong hands-on experience in full-stack engineering with proficiency in Python and React.
• Experience with cloud platforms such as Microsoft Azure, AWS, and/or GCP.
• Expertise in machine learning, AI modeling, and chatbot integration.
• Strong understanding of cloud architecture, software design, and scalability.
• Experience with DevOps tools and environment management.

Nice to have

• Experience with Azure Machine Learning, Azure Functions, Azure App Services, and Azure DevOps.
• Knowledge of AWS Lambda, SageMaker, Google Vertex AI, and Cloud Run.
• Experience with LLMs, generative AI, NLP, and prompt orchestration frameworks.
• Proficiency in Docker, Kubernetes, and container-based deployment models.
• Experience with MLOps practices and model lifecycle management.

Culture & Benefits

• Hybrid work environment.
• Comprehensive benefits including medical, dental, and vision insurance.
• 401K contributions.
• Paid Time Off (PTO) and sick leave.