Hello all,
Role: Software engineer (AI Engineer)
Location: Austin, TX (Hybrid) (Tuesday & Fridays onsite)
Duration: Long Term
JD:
We are seeking an AI Engineer to drive innovation in our SDLC processes using artificial intelligence and automation.
Required Skills & Qualifications:
• Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
• 3+ years in Development/Automation roles.
• Strong background in cloud-native infrastructure (AWS, Azure, or GCP).
• 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
II. CANDIDATE SKILLS AND QUALIFICATIONS
Minimum Requirements:
Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.
Years
Required/Preferred
Experience
8
Required
Proven ability to administer GitHub Enterprise Cloud
8
Required
Proven ability to analyze and resolve complex issues
8
Required
Supporting and training end users on all levels.
8
Required
Hands-on experience with Continuous Integration Delivery models
3
Preferred
Hands-on experience with large development projects using Agile methodology
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