AI/Full Stack Engineer

  • Irving, TX
  • Posted 21 hours ago | Updated moments ago

Overview

Remote
On Site
Depends on Experience
Contract - Independent
Contract - W2
Contract - 12 Month(s)

Skills

API
Artificial Intelligence
Authentication
Authorization
Backend Development
Communication
Conflict Resolution
Data Storage
Database
DevOps
Docker
FOCUS
Frontend Development
Generative Artificial Intelligence (AI)
GitHub
Healthcare Information Technology
Language Models
Large Language Models (LLMs)
Management
Microsoft Azure
MongoDB
Problem Solving
Python
React.js
Scalability
Software Engineering

Job Details

Role: AI/Full Stack Engineer
Location: Irving, TX (Remote)
Job Type: Contract
Job Description:
We are rapidly expanding our team and seeking highly skilled and experienced AI/Full Stack Engineers to contribute to the development and deployment of cutting-edge AI-powered applications. You will play a key role in building robust backend systems and integrating Large Language Models to create innovative solutions. This is a fast-paced environment requiring individuals who can hit the ground running and have a proven track record of delivering production-ready applications.

Required Skills -

Python. backend development and AI integration. Language Models, with a primary focus on OpenAI.

Job Duties - Responsibilities:

Design, develop, and deploy backend infrastructure and APIs to support AI-driven applications.
Integrate and work extensively with Large Language Models (primarily OpenAI).
Develop and refine prompts to optimize the performance and accuracy of LLMs.
Utilize 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 the development of 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 the scalability, reliability, and performance of deployed AI applications.
Apply GenAI concepts and techniques to solve real-world problems.
Focus on the practical application of AI, with an emphasis on deploying models and solutions into production environments.

Job Requirements - Qualifications:

Minimum of 3 years of professional experience in software engineering with a focus on backend development and AI integration.
Strong proficiency in Python.
Hands-on experience working with Language Models, with a primary focus on OpenAI.
Proven ability to develop and optimize prompts for LLMs.
Solid understanding and practical experience with Azure AI services (Document Intelligence, Azure OpenAI, AI Search).
Experience with backend development and API creation.
Proficiency in working with MongoDB.
Exposure to Generative AI concepts and their practical application.
A strong focus on Applied AI, with a demonstrable history of deploying AI solutions into production.
Excellent problem-solving and communication skills.
Ability to work independently and as part of a collaborative team.

Desired Skills & Experience - Bonus Points:

Experience with DevOps pipelines and deployment processes e.g. GitHub Actions
Experience with Docker and Kubernetes
Infrastructure as code e.g. Terraform
Experience with Authentication and Authorization frameworks
Familiarity with front-end development technologies e.g. React.js (though the primary focus is backend).

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.