AI Performance Engineer

2 days ago

Austin TX, United States V Group Inc. Full time

Client 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.
Responsibilities:
Design and implement AI/ML models that improve SDLC processes in domains.
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.
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:
~ Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
~8 Years Experience Required Proven ability to administer GitHub Enterprise Cloud
~8 Years Experience Required Proven ability to analyze and resolve complex issues
~8 Years Experience Required Supporting and training end users on all levels.
~8 Years Experience Required Hands-on experience with Continuous Integration Delivery models
~3 Years Experience Preferred Hands-on experience with large development projects using Agile methodology

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