Full Stack Engineer (AI a Plus)

Allied ConsultantsAustin, TX
33dHybrid

About The Position

Allied Consultants, Inc is a proudly Austin based firm with over 33 years of experience delivering top-tier technical and business professionals within Texas State Agencies. We are currently seeking an experience Full Stack Engineer (AI a Plus) 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 Location of job: Hybrid- 3 days onsite, 2 days remote. Candidate must be local to Austin, TX Client is 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.

Requirements

  • 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

Nice To Haves

  • 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

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.

Benefits

  • Medical insurance (with employer cost sharing)
  • Life insurance
  • A 401(K) plan with company match
  • Flexible spending through a cafeteria plan
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