What are the responsibilities and job description for the AI Engineer - Generative AI & Full-Stack Development position at Neos Consulting?
Job Details
City : Austin
State : Texas
Neos is Seeking an AI Engineer - Generative AI & Full-Stack Development for a contract role for with our client in Austin, TX.
***HYBRID - ONLY CANDIDATES CURRENTLY RESIDING IN THE AUSTIN, TX AREA WILL BE CONSIDERED***
Position is Hybrid - currently working onsite 3 days a week at 1900 Aldrich St, Austin, TX 78723
No calls, no emails, please respond directly to the "apply" link with your resume and contact details.
Position Overview
We are looking for a talented AI Engineer to design, develop, and deploy intelligent solutions that harness big data infrastructure and cutting-edge AI frameworks. This role demands a solid background in software engineering and a proven ability to deliver production-grade, scalable AI web applications-from easy-to-use front-end designs to reliable back-end systems and data workflows.
Key Responsibilities
Develop intelligent, self-service user experiences by integrating pre-trained LLMs (e.g., OpenAI, Claude) and machine learning frameworks into customer-facing applications.
Design and implement end-to-end features for a chat-based data interaction platform.
Build responsive, user-friendly front-end interfaces using modern frameworks such as React, Vue, or Streamlit.
Develop scalable back-end services and APIs using Python (FastAPI, Flask) or Node.js.
Enhance and maintain software systems supporting generative AI initiatives.
Deliver full-stack AI-powered applications using Python and contemporary UI frameworks.
Collaborate with cross-functional teams to solve complex challenges and integrate scalable, cloud-based AI solutions.
Rapidly prototype, test, and iterate on AI tools with a focus on performance, flexibility, and scalability.
Maintain comprehensive technical documentation, conduct code reviews, and support the full software development lifecycle.
Design and implement DevOps pipelines to support release management.
Required Qualifications
A minimum of seven years of experience in software development, including at least two years focused on AI/ML technologies and over four years of hands-on expertise with Python.
Proficiency in Python, Node.js, and React.js, with a strong background in backend services and data processing.
Experience with cloud platforms (preferably Azure) and CI/CD pipelines.
Solid understanding of authentication, authorization, and data protection best practices.
Strong problem-solving abilities and effective communication skills.
Hands-on experience with generative AI frameworks and models (e.g., LangChain, OpenAI APIs).
Familiarity with LLMs, vector databases, and retrieval systems.
Programmatic integration with Microsoft 365 using Graph API and Entra ID Authentication.
Preferred Qualifications
Knowledge of data visualization libraries and dashboarding tools.
Exposure to containerization technologies such as Docker and Kubernetes.
Familiarity with DevOps tools including Jenkins and Azure DevOps.
Understanding of database and data engineering fundamentals.
Experience with Model Context Protocol (MCP) integration and server development.
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
#DICE
#LI-MB
State : Texas
Neos is Seeking an AI Engineer - Generative AI & Full-Stack Development for a contract role for with our client in Austin, TX.
***HYBRID - ONLY CANDIDATES CURRENTLY RESIDING IN THE AUSTIN, TX AREA WILL BE CONSIDERED***
Position is Hybrid - currently working onsite 3 days a week at 1900 Aldrich St, Austin, TX 78723
No calls, no emails, please respond directly to the "apply" link with your resume and contact details.
Position Overview
We are looking for a talented AI Engineer to design, develop, and deploy intelligent solutions that harness big data infrastructure and cutting-edge AI frameworks. This role demands a solid background in software engineering and a proven ability to deliver production-grade, scalable AI web applications-from easy-to-use front-end designs to reliable back-end systems and data workflows.
Key Responsibilities
Develop intelligent, self-service user experiences by integrating pre-trained LLMs (e.g., OpenAI, Claude) and machine learning frameworks into customer-facing applications.
Design and implement end-to-end features for a chat-based data interaction platform.
Build responsive, user-friendly front-end interfaces using modern frameworks such as React, Vue, or Streamlit.
Develop scalable back-end services and APIs using Python (FastAPI, Flask) or Node.js.
Enhance and maintain software systems supporting generative AI initiatives.
Deliver full-stack AI-powered applications using Python and contemporary UI frameworks.
Collaborate with cross-functional teams to solve complex challenges and integrate scalable, cloud-based AI solutions.
Rapidly prototype, test, and iterate on AI tools with a focus on performance, flexibility, and scalability.
Maintain comprehensive technical documentation, conduct code reviews, and support the full software development lifecycle.
Design and implement DevOps pipelines to support release management.
Required Qualifications
A minimum of seven years of experience in software development, including at least two years focused on AI/ML technologies and over four years of hands-on expertise with Python.
Proficiency in Python, Node.js, and React.js, with a strong background in backend services and data processing.
Experience with cloud platforms (preferably Azure) and CI/CD pipelines.
Solid understanding of authentication, authorization, and data protection best practices.
Strong problem-solving abilities and effective communication skills.
Hands-on experience with generative AI frameworks and models (e.g., LangChain, OpenAI APIs).
Familiarity with LLMs, vector databases, and retrieval systems.
Programmatic integration with Microsoft 365 using Graph API and Entra ID Authentication.
Preferred Qualifications
Knowledge of data visualization libraries and dashboarding tools.
Exposure to containerization technologies such as Docker and Kubernetes.
Familiarity with DevOps tools including Jenkins and Azure DevOps.
Understanding of database and data engineering fundamentals.
Experience with Model Context Protocol (MCP) integration and server development.
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
#DICE
#LI-MB
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.
