AI Engineer

Overview

On Site
Hybrid
Contract - W2

Skills

IT Consulting
Computer Science
Amazon Web Services
Microsoft Azure
Google Cloud Platform
Google Cloud
Bash
Clustering
Python
scikit-learn
TensorFlow
PyTorch
Predictive Analytics
Time Series
Forecasting
Machine Learning Operations (ML Ops)
Terraform
Hyper-V
Virtual Machines
Account Management
BMC
Apache Helix
Issue Tracking
Machine Learning (ML)
Software Development Methodology
Productivity
Test Management
Data Analysis
Microsoft Certified Professional
Root Cause Analysis
Optimization
Generative Artificial Intelligence (AI)
Scripting
User Experience
Use Cases
Collaboration
Cloud Computing
Scalability
Artificial Intelligence
Agile
Scrum
DevOps
Eclipse
IBM Rational
STS
Design Documentation
Systems Analysis
Problem Solving
Performance Tuning
Management
Access Control
Workflow
GitHub
Continuous Integration
Continuous Delivery
Law

Job Details

  • JOB-7484
  • AI Engineer
  • Austin, TX / HYBRID
  • Contract
  • Link Technologies (LinkTechConsulting.com), a Las Vegas-based IT consulting firm, is currently seeking an AI Engineer to join our team.

    QUALIFICATIONS

    • Bachelor's degree in computer science, engineering, or equivalent experience. Minimum of three (3) years in development/automation roles.
    • Strong background in cloud-native infrastructure (AWS, Azure, or Google Cloud Platform).
    • Proficiency in automation and scripting (Python is preferred, Bash, etc.).
    • Solid understanding of CI/CD pipelines.
    • Experience with cloud-native technologies
    • Experience applying AI/ML techniques to solve engineering problems (e.g., anomaly detection, classification, clustering).
    • Familiarity with Python machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
    • Good understanding of monitoring, logging, and observability tooling.
    PREFERRED SKILLS

    • Experience with anomaly detection, predictive analytics, or time-series forecasting.
    • Knowledge of MLOps practices (for internal AI models).
    • Experience integrating AI solutions into DevOps toolchains and platforms.
    • Familiarity with infrastructure as code (Terraform, Pulumi, CloudFormation).
    • Some working experience with Hyper-V Virtual Machine Management
    • Asset and service account management
    • BMC Helix ticketing system


    RESPONSIBILITIES

    • Design and implement AI/ML models that improve SDLC processes in domains, such as:
      • Developer experience and productivity
      • o Intelligent test management using data analytics and predictive techniques
      • Predictive infrastructure failure detection
      • Agentic AI, MCP implementation, and RAG techniques
      • Intelligent alerting and noise reduction
      • Automated incident classification and root-cause analysis
      • CI/CD optimization based on historical trends
      • Using GenAI for IaC
      • Any other innovative use-cases.
    • Work closely with Development, DevOps, and Infrastructure teams to identify automation opportunities and pain points.
    • Develop automation scripts and tooling to reduce manual tasks, operational efficiencies, and user experience.
    • Build, deploy, and maintain pipelines to train and continuously improve AI models for DevOps use-cases.
    • Collaborate with Infrastructure, Cloud, and DevOps teams to create architecture/design documents for proposed solutions.
    • Ensure operational reliability, scalability, and performance of AI-driven automation tooling.
    • Integrate AI solutions into monitoring.
    • Experience with Agile Scrum and DevOps methodologies
    • Experience working in Developer IDEs, such as Eclipse, IBM Rational Application Developer, STS, etc.
    • Create technical and design documentation, as required
    • Perform system analysis, troubleshooting, diagnosis and problem resolution. Analyze software for defects and performance tuning opportunities
    • GitHub Administration:
      • Manage repositories, branching strategies, and access control.
      • Automate workflows using GitHub Actions or similar CI/CD tools.
      • Maintain code quality and integration processes.
      • Define and implement governance rules.
    • Other duties as assigned.


    Link Technologies is an equal opportunity employer. All qualified applicants will receive consideration for employment without discrimination based on race, color, religion, sex, gender identity/expression, sexual orientation, national origin, protected veteran status, disability, or any other factors protected by law.
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.

About Link Technologies