Posted on 2025/02/11
AI Application Engineer - Generative AI & Azure Cloud
Artmac
Houston, TX, United States
Qualifications
-
Experience : 8-15 Years
-
4+ years of experience with Python, JavaScript, React, Node.js, and Express
-
Proficiency in databases such as MySQL, PostgreSQL, and MongoDB
-
Experience with Azure services, including Azure Functions, Azure DevOps, and Azure Cognitive Services
-
Strong understanding of web servers
-
Familiarity with containerization technologies such as Docker and Kubernetes
-
Ability to write clean, efficient, and reusable code
-
Strong problem-solving skills and the ability to troubleshoot complex issues
-
Experience with Generative AI models and integrating them into applications
-
Knowledge of agentic workflows like CrewAI or Autogen
-
Experience in a startup environment or entrepreneurial spirit
-
Familiarity with CI/CD pipelines and automated deployment processes
-
Bachelor's degree or equivalent combination of education and experience
Responsibilities
-
Collaborate with cross-functional teams to design, develop, and deploy AI applications using OpenAI GPT 4 and GPT 4o on the Azure cloud platform
-
Develop and refine machine learning models, using state-of-the-art techniques in natural language processing and deep learning
-
Perform data wrangling, preprocessing, and feature engineering to prepare data for modeling
-
Analyze and interpret complex datasets, providing actionable insights and recommendations to stakeholders
-
Maintain and update AI models, ensuring their accuracy and relevance to business needs
-
Stay up to date with the latest research, tools, and technologies in the field of artificial intelligence and machine learning
-
Create and maintain documentation, including technical specifications, user guides, and best practices for AI development
-
Define data ingestion strategy for a variety of file types i.e., word, PPT, excel, images, etc
-
Define Prompt Engineering guidelines for the GPT 4o Bots for effective generation
Full Description
Who We Are
Artmac Soft is a technology consulting and service-oriented IT company dedicated to providing innovative technology solutions and services to Customers.
Job Description
Job Title : AI Application Engineer – Generative AI & Azure Cloud
Job Type : W2 / C2C
Experience : 8-15 Years
Location : Houston, Texas
Responsibilities
• 4+ years of experience with Python, JavaScript, React, Node.js, and Express.
• Proficiency in databases such as MySQL, PostgreSQL, and MongoDB.
• Experience with Azure services, including Azure Functions, Azure DevOps, and Azure Cognitive Services.
• Strong understanding of web servers
• Familiarity with containerization technologies such as Docker and Kubernetes.
• Ability to write clean, efficient, and reusable code.
• Strong problem-solving skills and the ability to troubleshoot complex issues.
• Experience with Generative AI models and integrating them into applications.
• Knowledge of agentic workflows like CrewAI or Autogen.
• Experience in a startup environment or entrepreneurial spirit.
• Familiarity with CI/CD pipelines and automated deployment processes.
• Collaborate with cross-functional teams to design, develop, and deploy AI applications using OpenAI GPT 4 and GPT 4o on the Azure cloud platform.
• Develop and refine machine learning models, using state-of-the-art techniques in natural language processing and deep learning.
• Perform data wrangling, preprocessing, and feature engineering to prepare data for modeling.
• Analyze and interpret complex datasets, providing actionable insights and recommendations to stakeholders.
• Maintain and update AI models, ensuring their accuracy and relevance to business needs.
• Stay up to date with the latest research, tools, and technologies in the field of artificial intelligence and machine learning.
• Create and maintain documentation, including technical specifications, user guides, and best practices for AI development.
• Define data ingestion strategy for a variety of file types i.e., word, PPT, excel, images, etc.
• Define Prompt Engineering guidelines for the GPT 4o Bots for effective generation.
Qualification
• Bachelor's degree or equivalent combination of education and experience

Zero to AI Engineer
Skip the degree. Learn real-world AI skills used by AI researchers and engineers. Get certified in 8 weeks or less. No experience required.
Find AI, ML, Data Science Jobs By Location
Find Jobs By Position