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AI Engineer

Location US-TX-Austin
Job ID
2026-8112
# Positions
1
Experience (Years)
7
Category
Applications/Software Development
Deadline Date
9/22/2026
Duration (Hours)
1800
Duration (Months)
11
Visa Restrictions
Authorized to work in the US

Overview

Allied Consultants, Inc is a proudly Austin based firm with over 34 years of experience delivering top-tier technical and business professionals within Texas State Agencies. We are currently seeking an experience AI Engineer to play a key role within a high-impact technical services team.

 

At Allied Consultants, we value our consultants and are committed to providing an exceptional experience including:

  • Highly competitive pay rates
  • Local support staff for responsive, personal service
  • Comprehensive benefits package, including:
    • Medical insurance (with employer cost sharing)
    • Life insurance
    • A 401(K) plan with company match
    • Flexible spending through a cafeteria plan

Candidates selected for interviews will be subject to a criminal background check and may be required to pass a drug screening, in compliance with federal and state regulations. All offers of employment are contingent upon successful completion of these checks.

 

Allied Consultants is a proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Responsibilities

We are seeking a skilled AI Engineer to design, develop, and deploy intelligent tools that leverage big data infrastructure and modern AI architectures. This role requires a strong foundation in software engineering and the ability to deliver production-ready AI applications. You will be instrumental in building scalable web applications, spanning intuitive front-end interfaces to robust back-end services and data pipelines.

 

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 (Fast API, 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.

Qualifications

Minimum (Required):

Years

Skills/Experience

7

Experience in software development, including at least two years focused on AI/ML technologies and over four years of hands-on expertise with Python.

 

Python, MS Azure AI Stack, AI Search, Content Understanding, MS Foundry, MAF, Git

 

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 (Optional):

Years

Skills/Experience

 

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

 

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