AI Dev Ops Engineer
Request ID: (phone number removed)
Title:AI/DevOps Engineer
Location: Austin TX (100% ONSITE ROLE local candidates only)
Duration: 6 months
Pay Rate: $34.00/hr -$36.00/hr on W2 (All inclusive)
Applicants must be able to work on W2 without any Visa sponsorship
Key Responsibilities:
AI
Preferred Experience:
Technical Skills
Soft Skills
Title:AI/DevOps Engineer
Location: Austin TX (100% ONSITE ROLE local candidates only)
Duration: 6 months
Pay Rate: $34.00/hr -$36.00/hr on W2 (All inclusive)
Applicants must be able to work on W2 without any Visa sponsorship
Key Responsibilities:
AI
- Develop and implement AI solutions using modern frameworks and tools
- Design and optimize Model Context Protocol (MCP) integrations for various applications
- Create and refine AI skills and capabilities for enterprise use cases
- Conduct prompt engineering experiments to improve model performance and reliability
- Collaborate with senior engineers on AI model deployment and monitoring
- Contribute to AI project documentation and best practices
- Implement Infrastructure as Code (IaC) using tools like Terraform, CloudFormation, or Pulumi
- Support GitHub Enterprise Managed Users (EMU) migration initiatives
- Automate deployment pipelines and CI/CD processes
- Troubleshoot Linux-based systems and resolve infrastructure issues
- Monitor system performance and implement optimization strategies
- Maintain and enhance cloud infrastructure across multiple environments
- Participate in code reviews and maintain high-quality coding standards
- Collaborate with cross-functional teams on project planning and execution
- Stay current with industry trends in AI, DevOps, and cloud technologies
- Document processes, solutions, and troubleshooting procedures
- Provide technical support and mentorship to team members as you grow
Preferred Experience:
Technical Skills
- Bachelors degree in computer science, Engineering, or related technical field
- Programming experience in Python, JavaScript, or similar languages
- Familiarity with Linux/Unix operating systems and command-line tools
- Understanding of cloud platforms (AWS, Azure, or GCP) - certification preferred but not required
- Experience with version control systems, particularly Git and GitHub
- Knowledge of containerization technologies (Docker, Kubernetes) is a plus
- Exposure to AI/ML frameworks (TensorFlow, PyTorch, Hugging Face) through coursework or projects
- Experience with Infrastructure as Code tools
- Familiarity with monitoring and observability tools (Prometheus, Grafana, ELK stack)
Soft Skills
- Strong analytical and problem-solving abilities
- Excellent written and verbal communication skills
- Ability to work independently and manage multiple priorities
- Demonstrated interest in emerging technologies through personal projects, internships, or coursework
- Experience working in team environments, preferably in agile methodologies
- Inclusive and diverse work environment
- Opportunities for professional growth and development
- Comprehensive health and wellness benefits
