Link Technologies is seeking an AI Engineer to improve SDLC processes and solve engineering problems using AI/ML techniques
Requirements
- 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
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
- 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
Other
- Bachelors degree in computer science, engineering, or equivalent experience
- Minimum of three (3) years in development/automation roles
- Good understanding of 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
