AI/Full Stack Engineer

Codetech•Irving, TX

About The Position

We are seeking experienced AI/Full Stack Engineers to help develop and deploy AI-powered applications. The role focuses on building backend systems and integrating Large Language Models, primarily OpenAI, to create production-ready solutions. Engineers will also use Azure AI services and MongoDB to build and support intelligent application features, with an emphasis on practical, production deployment of AI.

Requirements

  • At least 3 years of professional software engineering experience focused on backend development and AI integration.
  • Strong proficiency in Python.
  • Hands-on experience working with Language Models, primarily OpenAI.
  • Proven 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.
  • Demonstrated history of deploying Applied AI solutions into production.
  • 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 development 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, with a focus 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, focusing on production deployment.
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