Job summary:


Title:
AI Engineer - Hybrid

Location:
Austin, TX, USA

Length and terms:
Long term - W2 or C2C


Position created on 12/04/2025 10:42 pm

Job description:


Interview Type: Webcam Or In Person Interview*** Very long term project; Hybrid; need 3 references*** Local candidate or local to TX only but must relocate***Hybrid***

Job Description:

We are seeking an AI Engineer to drive innovation in our SDLC processes using artificial intelligence and automation. This role is ideal for an engineer passionate about automation and applying AI/ML techniques to improve reliability, observability, and operational workflows. The focus of this role is not to support external AI/ML product teams, but to internally develop AI-driven solutions that optimize SDLC processes, reduce toil, and increase automation maturity across the organization.

Key Responsibilities:

  • Design and implement AI/ML models that improve SDLC processes in domains, such as:
  • Developer experience and productivity
  • 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.

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
  • Hands-on experience with large development projects using Agile methodology 3 Years

Required Skills

  • Proven ability to administer GitHub Enterprise Cloud 8 Years
  • Proven ability to analyze and resolve complex issues 8 Years
  • Supporting and training end users on all levels. 8 Years
  • Hands-on experience with Continuous Integration Delivery models 8 Years

Contact the recruiter working on this position:



The recruiter working on this position is Hima Teja(Shaji Team)
His/her contact number is +(1) (202) 6290353
His/her contact email is teja@msysinc.com

Our recruiters will be more than happy to help you to get this contract.