AI/Full Stack Engineer

Codetech • Irving, TX

6h

About The Position

We are seeking experienced AI/Full Stack Engineers to develop and deploy AI-powered applications. The role focuses on building backend systems and integrating Large Language Models, especially OpenAI, to create production-ready solutions. Engineers will also contribute to end-to-end prototype applications, with an emphasis on backend functionality and automated testing, and apply Generative AI techniques to practical problems and production environments.

Requirements

• At least 3 years of professional software engineering experience focused on backend development and AI integration.
• Strong proficiency in Python.
• Hands-on experience with Language Models, primarily OpenAI.
• Demonstrated ability to develop and optimize prompts for LLMs.
• Practical experience with Azure AI services, including Document Intelligence, Azure OpenAI, and AI Search.
• Experience with backend development and API creation.
• Proficiency with MongoDB.
• Exposure to Generative AI concepts and their practical application.
• Demonstrable history of deploying AI solutions into production, with a focus on Applied AI.
• Excellent problem-solving and communication skills.
• Ability to work independently and collaboratively.

Nice To Haves

• Experience with DevOps pipelines and deployment processes, such as GitHub Actions.
• Experience with Docker and Kubernetes.
• Experience with infrastructure as code, such as Terraform.
• Experience with authentication and authorization frameworks.
• Familiarity with front-end technologies such as React.js.

Responsibilities

• Design, develop, and deploy backend infrastructure and APIs for AI-driven applications.
• Integrate and work extensively with Large Language Models, primarily OpenAI.
• Develop and refine prompts to improve LLM performance and accuracy.
• Use Azure AI services, including Document Intelligence, Azure OpenAI, and AI Search, to build intelligent features.
• Implement and manage MongoDB databases for application data storage.
• Contribute to end-to-end prototype applications, focusing on backend functionality and automated testing.
• Collaborate with cross-functional teams to understand requirements and translate them into technical solutions.
• Ensure deployed AI applications are scalable, reliable, and performant.
• Apply Generative AI concepts and techniques to real-world problems, emphasizing production deployment of models and solutions.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed