AI Integration Engineer

Job Description:

We are seeking a skilled and proactive AI Integration Engineer to join our team in India. The ideal candidate will be responsible for integrating Generative AI applications with our internal monitoring solutions to enhance our comprehensive monitoring, alerting, and self-healing capabilities. This role requires a deep understanding of Python development, APIs, and various tools and platforms to create robust and efficient systems.

Primary Skills:

• Python Development: Proficiency in Python for developing scripts, automation, and integration tasks.
• APIs: Strong experience in developing, consuming, and integrating RESTful APIs.
• Notebooks: Expertise in using Jupyter Notebooks for data analysis and prototyping AI models.
• Logs: Ability to manage and analyze logs for debugging and monitoring purposes.
• Version Control: Proficiency with Git and GitHub for code versioning and collaboration.
• Project Management Tools: Familiarity with Jira for tracking issues, tasks, and project workflows.
• Cloud Platforms: Knowledge of cloud services (Azure)
• Self-Healing Systems: Understanding of self-healing mechanisms and automation in IT infrastructure.
• Experience in developing and integrating Agentic AI solutions.

Nice to Have Skills:

• Containerization: Familiarity with Docker and Kubernetes for container orchestration.
• Data Engineering: Experience with ETL processes, data pipelines, and data warehousing.
• DevOps: Knowledge of CI/CD pipelines and practices.
• Security: Understanding of security best practices in AI and API integrations.
• NLP: Experience with Natural Language Processing techniques and tools.

Experience Required:

• Intermediate Level: 5+ years of relevant experience in Python development and AI integrations.
• Experience in integrating AI solutions with monitoring and alerting systems.
• Experience with API development and integration.
• Demonstrated ability to work with version control systems like Git and platforms such as GitHub
• Experience in working with logs, debugging, and troubleshooting.
• Exposure to cloud platforms and deploying AI solutions.
• Experience in a collaborative environment with cross-functional teams.
• Strong problem-solving skills and ability to work independently.

Core Responsibilities:

• Implement Self-Healing Mechanisms: Develop and implement self-healing mechanisms to automatically resolve identified issues.
• Collaborate with Cross-Functional Teams: Work closely with data engineers, DevOps, and other stakeholders to ensure seamless integration and operation of AI solutions.
• Debug and Troubleshoot Issues: Manage and analyze logs to debug and troubleshoot any issues that arise.
• Maintain and Update Documentation: Create and maintain comprehensive documentation for developed solutions and integration processes.
• Ensure Code Quality and Version Control: Maintain high code quality standards and manage code versioning using Git and GitHub.
• Stay Updated with AI Trends: Keep abreast of the latest developments in AI, machine learning, and related technologies to continuously improve the solutions.

This role offers a unique opportunity to work with cutting-edge AI technologies and contribute to the development of self-healing systems that enhance operational efficiency. If you are passionate about AI and have the required skills, we encourage you to apply and join our innovative team.

Weekly Hours:

Time Type:

Location:

It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities.